week_3/gf_lesson_6_document_chat_with_gemini_and_langchains.ipynb

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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7jeTY4HhJTny"
   },
   "source": [
    "# Chat with your document using Gemini and LangChains 🦜️🔗\n",
    "\n",
    "\n",
    "\n",
    "⚔️ I am your hosts, [Ngesa Marvin ](https://twitter.com/Ngesa254)!🐍\n",
    "\n",
    "\n",
    "🏹 Our goal is to get you started with Germini API and LangChains"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cF1SU5Ifdvq0"
   },
   "source": [
    "⚓  🗡️ 🏴‍☠️\n",
    "\n",
    "Level: Intermediate (No previous experience necessary)\n",
    "\n",
    "Here's what we will cover today:\n",
    "\n",
    "1. How to use Gemini Pro API in LangChain 👨‍💻🧠💡\n",
    "2. How to create a simple ChatBot using Gemini Pro with LangChain 💬🤖\n",
    "3. How to interact with Images through Gemini Pro Vision API 🖼️👁️\n",
    "6. How to create a document QnA System using Gemini Pro 📄🏋🏻‍♀️💪\n",
    "5. Next steps... and more! 🏆✨ ➡️"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "n-lRoTpqJTeM"
   },
   "source": [
    "### Install Required Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wgALz5M7I9dQ",
    "outputId": "96fba4ca-1f05-47d5-848c-82c73690c30c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m241.2/241.2 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m55.4/55.4 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hCollecting langchain\n",
      "  Downloading langchain-0.1.7-py3-none-any.whl (815 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m815.9/815.9 kB\u001b[0m \u001b[31m8.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: PyYAML>=5.3 in /usr/local/lib/python3.10/dist-packages (from langchain) (6.0.1)\n",
      "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /usr/local/lib/python3.10/dist-packages (from langchain) (2.0.27)\n",
      "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /usr/local/lib/python3.10/dist-packages (from langchain) (3.9.3)\n",
      "Requirement already satisfied: async-timeout<5.0.0,>=4.0.0 in /usr/local/lib/python3.10/dist-packages (from langchain) (4.0.3)\n",
      "Collecting dataclasses-json<0.7,>=0.5.7 (from langchain)\n",
      "  Downloading dataclasses_json-0.6.4-py3-none-any.whl (28 kB)\n",
      "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /usr/local/lib/python3.10/dist-packages (from langchain) (1.33)\n",
      "Collecting langchain-community<0.1,>=0.0.20 (from langchain)\n",
      "  Downloading langchain_community-0.0.20-py3-none-any.whl (1.7 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m13.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: langchain-core<0.2,>=0.1.22 in /usr/local/lib/python3.10/dist-packages (from langchain) (0.1.23)\n",
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      "Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses-json<0.7,>=0.5.7->langchain)\n",
      "  Downloading marshmallow-3.20.2-py3-none-any.whl (49 kB)\n",
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      "\u001b[?25hCollecting typing-inspect<1,>=0.4.0 (from dataclasses-json<0.7,>=0.5.7->langchain)\n",
      "  Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)\n",
      "Requirement already satisfied: jsonpointer>=1.9 in /usr/local/lib/python3.10/dist-packages (from jsonpatch<2.0,>=1.33->langchain) (2.4)\n",
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      "Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain)\n",
      "  Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\n",
      "Installing collected packages: mypy-extensions, marshmallow, typing-inspect, dataclasses-json, langchain-community, langchain\n",
      "Successfully installed dataclasses-json-0.6.4 langchain-0.1.7 langchain-community-0.0.20 marshmallow-3.20.2 mypy-extensions-1.0.0 typing-inspect-0.9.0\n",
      "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (9.4.0)\n"
     ]
    }
   ],
   "source": [
    "! pip install -q --upgrade google-generativeai langchain-google-genai python-dotenv\n",
    "!pip install langchain\n",
    "! pip install pillow\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vPfFW9SXfqge"
   },
   "source": [
    "### Import the necessary packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "X45csJPBfrFG"
   },
   "outputs": [],
   "source": [
    "import pathlib\n",
    "import textwrap\n",
    "\n",
    "import google.generativeai as genai\n",
    "\n",
    "from IPython.display import display\n",
    "from IPython.display import Markdown\n",
    "\n",
    "# Used to securely store your API key\n",
    "from google.colab import userdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "8QUBSAtnf4um"
   },
   "outputs": [],
   "source": [
    "#define a function to show responses generated by model\n",
    "def to_markdown(text):\n",
    "  text = text.replace('•', '  *')\n",
    "  return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "-9QVfpi-gYhp"
   },
   "outputs": [],
   "source": [
    "#retrieve the key\n",
    "GOOGLE_API_KEY=userdata.get('gdsc_germini')\n",
    "\n",
    "genai.configure(api_key=GOOGLE_API_KEY)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aVhA3f3GLlQZ"
   },
   "source": [
    "### Chat with Documents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zDgBd3MDRbeR"
   },
   "source": [
    "\n",
    "<img 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\" width=\"1000\" height=\"700\">\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "h-14UghOLJHA"
   },
   "outputs": [],
   "source": [
    "# !sudo apt -y -qq install tesseract-ocr libtesseract-dev\n",
    "\n",
    "# !sudo apt-get -y -qq install poppler-utils libxml2-dev libxslt1-dev antiword unrtf poppler-utils pstotext tesseract-ocr flac ffmpeg lame libmad0 libsox-fmt-mp3 sox libjpeg-dev swig\n",
    "\n",
    "# !pip install langchain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "7EjS_0qMLwyb"
   },
   "outputs": [],
   "source": [
    "import urllib\n",
    "import warnings\n",
    "from pathlib import Path as p\n",
    "from pprint import pprint\n",
    "\n",
    "import pandas as pd\n",
    "from langchain import PromptTemplate\n",
    "from langchain.chains.question_answering import load_qa_chain\n",
    "from langchain.document_loaders import PyPDFLoader\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain.vectorstores import Chroma\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "# restart python kernal if issues with langchain import."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kHulSVKAPBzB"
   },
   "source": [
    "### In Context Information Retreival\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "oBDSBBNRNi8x"
   },
   "outputs": [],
   "source": [
    "from langchain_google_genai import ChatGoogleGenerativeAI\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "HXXP0LCKN9pD"
   },
   "outputs": [],
   "source": [
    "model = ChatGoogleGenerativeAI(model=\"gemini-pro\",\n",
    "                             temperature=0.3, google_api_key=GOOGLE_API_KEY)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wceQX20bPGvF"
   },
   "source": [
    "### Download the document"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_KAb_zNQO4q1",
    "outputId": "47e3f6b4-8bc7-4624-af20-037634f5f338"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('/content/data/f921919199e8543ce5ba3925e4ddbc6d104fe2e995c7f3338a6d88554890372ca442a6a23c9a17f94e06b143eba71d4652cbea529d4e2b6b5646da8f46736615#:~:text=The%20developer%20population%20rose%20by,contraction%20of%20the%20global%20economy',\n",
       " <http.client.HTTPMessage at 0x7c6e901d8b50>)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_folder = p.cwd() / \"data\"\n",
    "p(data_folder).mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "pdf_url = \"https://kstatic.googleusercontent.com/files/f921919199e8543ce5ba3925e4ddbc6d104fe2e995c7f3338a6d88554890372ca442a6a23c9a17f94e06b143eba71d4652cbea529d4e2b6b5646da8f46736615#:~:text=The%20developer%20population%20rose%20by,contraction%20of%20the%20global%20economy\"\n",
    "pdf_file = str(p(data_folder, pdf_url.split(\"/\")[-1]))\n",
    "\n",
    "urllib.request.urlretrieve(pdf_url, pdf_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6fVI3d0BPaPQ"
   },
   "source": [
    "### Extract text from the PDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "IyuoAoSWPhd4",
    "outputId": "20d6a947-7e71-437b-e66b-f7edf5957cc0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pypdf\n",
      "  Downloading pypdf-4.0.1-py3-none-any.whl (283 kB)\n",
      "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/284.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
      "\u001b[2K     \u001b[91m━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.7/284.0 kB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m284.0/284.0 kB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: pypdf\n",
      "Successfully installed pypdf-4.0.1\n"
     ]
    }
   ],
   "source": [
    "!pip install pypdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5Kz7Ek2KPKSy",
    "outputId": "aa27b6d3-03cf-465b-c088-7dc4bdca7ef5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Africa Developer Ecosystem 2021 3E v er y d a y , A fri c an b u s ine ss e s ar e h arne ss in g \n",
      "in g enui t y t o empo w er t heir c o mmuni t i e s. \n",
      "W e beli e v e t her e’ s no o ne be tt er t o s o lv e l oc al \n",
      "ch all en g e s t h an A fri c a’ s d e v el o per s, f o und er s, \n",
      "and en tr ep r eneur s. F o r t he s e c o nd y e ar in a r o w , \n",
      "G oogl e c o mmiss i o ne d A c c en tur e t o p r odu c e \n",
      "an aly s is t h a t r e sul t e d in t his r epo rt t o m ap A fri c a’ s \n",
      "d e v el o per l and s c ape. W e e xpand e d t his e di t i o n o f \n",
      "t he r epo rt t o inclu d e Y oY gr o wt h an aly s is, t e ch \n",
      "e c o sy s t em c o mpo nen t s, and k e y gr o wt h f a c t o r s. \n",
      "T he r e s e ar ch w a s c o ndu c t e d in 1 6 m ar k e t s and t he \n",
      "findin g s w er e e xtr apo l a t e d t o t he r e s t o f A fri c an \n",
      "c o un tri e s. \n",
      "In 20 2 1, C O VID- 19 c o n t inu e d t o sh ape t he \n",
      "o p po rtuni t i e s and ch all en g e s f a cin g d e v el o per s \n",
      "and t he t e ch c o mmuni t y in A fri c a. T he d e v el o per \n",
      "po p ul a t i o n r o s e b y 3 .8% in 20 2 1 — and a v er a g e \n",
      "inc o me per d e v el o per r o s e a s w ell — d e s p i t e t he \n",
      "c o n tr a c t i o n o f t he gl o bal e c o no m y . T hr e e m ain \n",
      "f a c t o r s a c r o ss t he t e ch e c o sy s t em c o n trib u t e d \n",
      "t o t his po s i t iv e tr end: L oc al s t artup s, whi ch hir e \n",
      "o v er h alf o f A fri c an d e v el o per s, r ais e d o v er $4b n \n",
      "in 20 2 1, 2.5x t ime s mo r e t h an in 20 20. Inc r e a s e d \n",
      "gl o bal d em and f o r r emo t e t e ch t al en t, whi ch w a s \n",
      "a c c el er a t e d b y t he pand emi c, c r e a t e d mo r e r emo t e \n",
      "emp l o ymen t o p po rtuni t i e s f o r A fri c an d e v el o per s. F in ally , l oc al b u s ine ss e s inc r e a s e d t heir u s e o f t he \n",
      "in t erne t and hir e d d e v el o per s t o help t hem gr o w \n",
      "t heir b u s ine ss e s o nline. \n",
      "M o r e A fri c an d e v el o per s ar e g e tt in g f ull-t ime j o b s \n",
      "du e t o bo t h t he ris e in d em and fr o m l oc al s t artup s, \n",
      "and t he gl o bal d em and f o r r emo t e t e chni c al t al en t. \n",
      "Ni g eri a’ s p r o f e ss i o n al d e v el o per po p ul a t i o n h a d t he \n",
      "l ar g e s t m a gni tu d e gr o wt h o f an y A fri c an c o un tr y \n",
      "durin g t his t ime, wi t h an e s t im a t e d 5,000 ne w \n",
      "p r o f e ss i o n al s o ft w ar e d e v el o per s in 20 2 1. \n",
      "Our r e s e ar ch al s o f o und t h a t w o men d e v el o per s, \n",
      "l e arner s, and juni o r d e v el o per s w o ul d bene fi t fr o m \n",
      "be tt er in fr a s tru c tur e and mo r e e du c a t i o n al \n",
      "o p po rtuni t i e s. T o c o n t inu e gr o wt h, t e chno l ogy \n",
      "c o mpani e s, e du c a t o r s and g o v ernmen t s ar e t a cklin g \n",
      "l oc al ch all en g e s t hr o u gh inno v a t iv e part ner ship s \n",
      "and p r ogr am s. G oogl e is c o mmi tt e d t o sup po rt in g \n",
      "d e v el o per s a t e a ch s t a g e o f t heir j o urne y t hr o u gh \n",
      "r e gi o n al d e v el o per tr ainin g, c o mmuni t y , and \n",
      "men t o r ship p r ogr am s. \n",
      "F o r e w o r d\n"
     ]
    }
   ],
   "source": [
    "pdf_loader = PyPDFLoader(pdf_file)\n",
    "pages = pdf_loader.load_and_split()\n",
    "print(pages[2].page_content)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "I92nLtxIQNOw",
    "outputId": "ea55b486-9366-4954-d1d6-c51513659d29"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The total words in the context:  50590\n"
     ]
    }
   ],
   "source": [
    "context = \"\\n\".join(str(p.page_content) for p in pages[:50])\n",
    "print(\"The total words in the context: \", len(context))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uIVKdnEnP1xR"
   },
   "source": [
    "#### Prompt Design - In Context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "Eb9JV3tGPdm5"
   },
   "outputs": [],
   "source": [
    "prompt_template = \"\"\"Answer the question as precise as possible using the provided context. If the answer is\n",
    "                    not contained in the context, say \"answer not available in context\" \\n\\n\n",
    "                    Context: \\n {context}?\\n\n",
    "                    Question: \\n {question} \\n\n",
    "                    Answer:\n",
    "                  \"\"\"\n",
    "\n",
    "prompt = PromptTemplate(\n",
    "    template=prompt_template, input_variables=[\"context\", \"question\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "Wdf8qrgVP67T"
   },
   "outputs": [],
   "source": [
    "stuff_chain = load_qa_chain(model, chain_type=\"stuff\", prompt=prompt)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "prpL3hjSQH0k"
   },
   "outputs": [],
   "source": [
    "question = \"What is the Total number of developers? Provide a detailed answer.\"\n",
    "\n",
    "\n",
    "\n",
    "stuff_answer = stuff_chain(\n",
    "    {\"input_documents\": pages[7:10], \"question\": question}, return_only_outputs=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "YtYx3nfAQU5s",
    "outputId": "10e8a3e4-9074-47ea-d4e2-6c23224aefad"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'output_text': 'The total number of developers is 716,000.'}\n"
     ]
    }
   ],
   "source": [
    "pprint(stuff_answer)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "wRyyzELngHma"
   },
   "outputs": [],
   "source": [
    "question = \"what are the key challenges facing developers\"\n",
    "\n",
    "\n",
    "stuff_answer = stuff_chain(\n",
    "    {\"input_documents\": pages[0:50], \"question\": question}, return_only_outputs=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "jTNSnIjzXF-0",
    "outputId": "6b28b77c-4401-4739-fbdc-138f7b67fb45"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'output_text': 'The key challenges facing developers are: \\n'\n",
      "                '- Lack of training that accompanies remote work as well as '\n",
      "                'poor internet, limiting success in work-from-home roles\\n'\n",
      "                '- Soft skills, including communication skills, are not well '\n",
      "                'developed\\n'\n",
      "                '- Many junior developers face challenges in transitioning to '\n",
      "                'mid-level and senior roles\\n'\n",
      "                '- The lack of access to major training opportunities as '\n",
      "                'software developer training programs move to focus primarily '\n",
      "                'on fostering senior talent\\n'\n",
      "                '- Women developers faced more challenges than men, given '\n",
      "                'their more junior positions and the lack of childcare support '\n",
      "                'during the Covid-19 pandemic'}\n"
     ]
    }
   ],
   "source": [
    "pprint(stuff_answer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QQ7OlzvWSRE1"
   },
   "source": [
    "#### RAG Pipeline: Embedding + LLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "xCLmdnHYdoVx"
   },
   "outputs": [],
   "source": [
    "from langchain_google_genai import GoogleGenerativeAIEmbeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "id": "5VCQ2XiUSTOl"
   },
   "outputs": [],
   "source": [
    "text_splitter = RecursiveCharacterTextSplitter(chunk_size=10000, chunk_overlap=0)\n",
    "context = \"\\n\\n\".join(str(p.page_content) for p in pages)\n",
    "texts = text_splitter.split_text(context)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "E4Al-eo_SYtL"
   },
   "outputs": [],
   "source": [
    "# texts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "id": "oenB_PKkSpr_"
   },
   "outputs": [],
   "source": [
    "embeddings = GoogleGenerativeAIEmbeddings(model=\"models/embedding-001\", google_api_key=GOOGLE_API_KEY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "rLHm6Xq9TCWj",
    "outputId": "6c860748-c73f-43a9-e482-96b77eec24c2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting chromadb\n",
      "  Downloading chromadb-0.4.22-py3-none-any.whl (509 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m509.0/509.0 kB\u001b[0m \u001b[31m5.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: build>=1.0.3 in /usr/local/lib/python3.10/dist-packages (from chromadb) (1.0.3)\n",
      "Requirement already satisfied: requests>=2.28 in /usr/local/lib/python3.10/dist-packages (from chromadb) (2.31.0)\n",
      "Requirement already satisfied: pydantic>=1.9 in /usr/local/lib/python3.10/dist-packages (from chromadb) (2.6.1)\n",
      "Collecting chroma-hnswlib==0.7.3 (from chromadb)\n",
      "  Downloading chroma_hnswlib-0.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB)\n",
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      "\u001b[?25hCollecting fastapi>=0.95.2 (from chromadb)\n",
      "  Downloading fastapi-0.109.2-py3-none-any.whl (92 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.1/92.1 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hCollecting uvicorn[standard]>=0.18.3 (from chromadb)\n",
      "  Downloading uvicorn-0.27.1-py3-none-any.whl (60 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.8/60.8 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: numpy>=1.22.5 in /usr/local/lib/python3.10/dist-packages (from chromadb) (1.25.2)\n",
      "Collecting posthog>=2.4.0 (from chromadb)\n",
      "  Downloading posthog-3.4.1-py2.py3-none-any.whl (41 kB)\n",
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      "\u001b[?25hRequirement already satisfied: typing-extensions>=4.5.0 in /usr/local/lib/python3.10/dist-packages (from chromadb) (4.9.0)\n",
      "Collecting pulsar-client>=3.1.0 (from chromadb)\n",
      "  Downloading pulsar_client-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB)\n",
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      "\u001b[?25hCollecting onnxruntime>=1.14.1 (from chromadb)\n",
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      "  Stored in directory: /root/.cache/pip/wheels/e1/26/51/d0bffb3d2fd82256676d7ad3003faea3bd6dddc9577af665f4\n",
      "Successfully built pypika\n",
      "Installing collected packages: pypika, monotonic, mmh3, websockets, uvloop, pulsar-client, overrides, opentelemetry-util-http, opentelemetry-semantic-conventions, opentelemetry-proto, importlib-metadata, humanfriendly, httptools, h11, deprecated, chroma-hnswlib, bcrypt, backoff, asgiref, watchfiles, uvicorn, starlette, posthog, opentelemetry-exporter-otlp-proto-common, opentelemetry-api, coloredlogs, opentelemetry-sdk, opentelemetry-instrumentation, onnxruntime, kubernetes, fastapi, opentelemetry-instrumentation-asgi, opentelemetry-exporter-otlp-proto-grpc, opentelemetry-instrumentation-fastapi, chromadb\n",
      "  Attempting uninstall: importlib-metadata\n",
      "    Found existing installation: importlib-metadata 7.0.1\n",
      "    Uninstalling importlib-metadata-7.0.1:\n",
      "      Successfully uninstalled importlib-metadata-7.0.1\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "lida 0.0.10 requires kaleido, which is not installed.\n",
      "lida 0.0.10 requires python-multipart, which is not installed.\u001b[0m\u001b[31m\n",
      "\u001b[0mSuccessfully installed asgiref-3.7.2 backoff-2.2.1 bcrypt-4.1.2 chroma-hnswlib-0.7.3 chromadb-0.4.22 coloredlogs-15.0.1 deprecated-1.2.14 fastapi-0.109.2 h11-0.14.0 httptools-0.6.1 humanfriendly-10.0 importlib-metadata-6.11.0 kubernetes-29.0.0 mmh3-4.1.0 monotonic-1.6 onnxruntime-1.17.0 opentelemetry-api-1.22.0 opentelemetry-exporter-otlp-proto-common-1.22.0 opentelemetry-exporter-otlp-proto-grpc-1.22.0 opentelemetry-instrumentation-0.43b0 opentelemetry-instrumentation-asgi-0.43b0 opentelemetry-instrumentation-fastapi-0.43b0 opentelemetry-proto-1.22.0 opentelemetry-sdk-1.22.0 opentelemetry-semantic-conventions-0.43b0 opentelemetry-util-http-0.43b0 overrides-7.7.0 posthog-3.4.1 pulsar-client-3.4.0 pypika-0.48.9 starlette-0.36.3 uvicorn-0.27.1 uvloop-0.19.0 watchfiles-0.21.0 websockets-12.0\n"
     ]
    }
   ],
   "source": [
    "!pip install chromadb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "id": "zRDgzSjsSZtG"
   },
   "outputs": [],
   "source": [
    "vector_index = Chroma.from_texts(texts, embeddings).as_retriever()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "s9uxDBsiSrcE"
   },
   "outputs": [],
   "source": [
    "question = \"What are the key challenges facing developers\"\n",
    "docs = vector_index.get_relevant_documents(question)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8QslOV9gT9Lj",
    "outputId": "46c03e93-8181-4460-dcc9-ccb23f605a39"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='Africa Developer Ecosystem 2021 5 9G o v ernmen t sup po rt \\nf o r d e v el o per s diff er s \\nwi t hin t he fiv e gr o wt h \\ntr aj e c t o r y t ype s.10 1. W i t h i t s m a tur e t e ch e c o sy s t em and t al en t poo l, t he c o n t inen t’ s \\no nly M ain t ainin g  c o un tr y , So u t h A fri c a, h a s n ’ t m a d e bo l d \\nr e g ul a t o r y s tri d e s t o f urt her bo l s t er t he t e ch e c o sy s t em. \\n0 2. In A dv ancin g  c o un tri e s, t her e is a s tr o n g c o mmi t men t t o \\nempo w erin g t e ch b u s ine ss e s and up skillin g y o u t h, e s pe ci ally \\nin K en y a, \\n03 . C ul t iv a t in g  c o un tri e s h a v e t he s tr o n g e s t g o v ernmen t sup po rt \\nf o r t e chno l ogy; t he y’ r e f ocu s e d o n c a t chin g up wi t h a dv ancin g \\nm ar k e t s and a ttr a c t in g in v e s t men t. \\n04. E mer gin g  c o un tri e s’ g o v ernmen t s h a v en ’ t mod erniz e d f a s t \\neno u gh, ho w e v er , t he y’ v e inc r e a s e d t heir f ocu s o n di gi t iz a t i o n and \\nimp r o vin g t he t e ch and s t artup l and s c ape t o driv e e c o no mi c \\ngr o wt h. \\n05. N a s c en t  c o un tri e s h a v e e xperi enc e d unp r e di c t ab l e po li t i c al \\nand g o v ernmen t s c en ari o s, h amperin g ne w b u s ine ss gr o wt h. \\nG o v ernmen t ini t i a t iv e s f ocu s e d o n t e chno l ogy and b u s ine ss e s \\nar e limi t e d and, a t t ime s, un fri endly . \\nSo ur c e s: 1. A c c en tur e An aly s is & In t er vi e ws\\n\\nAfrica Developer Ecosystem 2021 60K e y ar e a s o f f ocu s \\nf o r g o v ernmen t s and \\nt he p riv a t e s e c t o r ar e \\ngr o upe d ba s e d o n \\nt he G oogl e’ s Di gi t al \\nSp rin t er s r epo rt.1 \\nP h y s i c al C ap i t al \\nP h y s i c al C ap i t al r e f er s t o c o nne c t ivi t y and di gi t al in fr a s tru c tur e. \\nIn fr a s tru c tur e d oe s no t d epend s o l ely o n in v e s t men t s, b u t al s o \\no n t he w a y t h a t i t is m an a g e d. \\nH um an C ap i t al \\nTher e ar e a r an g e o f in t er c o nne c t e d issu e s und er t he H um an C ap i t al \\nar e a, inclu din g d e v el o per tr ainin g, j o b s e curi t y , en tr ep r eneur ship, \\nand g end er dis c rimin a t i o n. \\nT e chno l ogy \\nT e chno l ogy inclu d e s ini t i a t iv e s t o p r o lif er a t e di gi t al d a t a, m a chine \\nl e arnin g, and cl o u d c o mp u t in g t o empo w er t he gr o wt h o f \\nne xt-g ener a t i o n t e chno l ogi c al inno v a t i o n s. \\nC o mpe t i t iv ene ss \\nC o mpe t i t iv ene ss enc o mpa ss e s po li ci e s t h a t p r o mo t e c o mpe t i t iv e \\nand o pen m ar k e t s, in t er o per ab l e r e g ul a t o r y s t and ar d s, and t a x \\nr e gime s t h a t ar e p r e di c t ab l e and ba s e d o n in t ern a t i o n al s t and ar d s. \\nSo ur c e s: 1.  The Di gi t al Sp rin t er s r epo rt\\n\\nAfrica Developer Ecosystem 2021 6 1P h y s i c al C ap i t al Inc r e a s in g 4G \\na v ail ab ili t y As part o f t he V is i o n 20 20 p r o j e c t, R w and a h a s su c c e ssf ully e xt end e d i t s 4G c o v er a g e t o 9 6 % o f t he \\nn a t i o n, en ab lin g pe o p l e t o a c c e ss a c a shl e ss sy s t em o n b u s e s and W i-F i o n p ub li c tr an s po rt a t i o n.1 \\nR e du cin g d a t a c o s t s Gh an a’ s g o v ernmen t is r el a xin g t el e c o m li c en s in g rul e s t o l o w er d a t a c o s t s. L e a d er s p l an t o b r oa d en \\nt he s c o pe o f i t s t el e c o m li c en s e s s o o per a t o r s h a v e mo r e s pe c trum a v ail ab l e f o r in t erne t u s e, \\nl o w erin g d a t a c o s t s.2\\nH um an C ap i t al G o v ernmen t \\nC odin g A c a d em y In 20 19 , t he R w and an g o v ernmen t and t he S wiss A g ency f o r D e v el o p men t and C oo per a t i o n (SDC) \\nl aunche d t he R w and a C odin g A c a d em y t o tr ain s tu d en t s o n cy ber s e curi t y and s o ft w ar e \\np r ogr ammin g.3 \\nDi gi t al skill s tr ainin g \\nini t i a t iv e  The M o r oc c an g o v ernmen t l aunche d “T ak e IT F o r w ar d” p r o j e c t t o inc r e a s e t he emp l o y ab ili t y o f \\ny o un g gr a du a t e s b y tr ainin g y o u t h in di gi t al skill s, s o ft skill s and sup po rt in g in I CT -r el a t e d \\np l a c emen t s.4\\nT e chno l ogy A dv anc e d t e chno l ogy \\nf ocu s The R w and an g o v ernmen t s e t up t he T e chno l ogy C en t er o f E x c ell enc e (C oE) f o r di gi t aliz a t i o n, \\ns e curi t y and art ifi ci al in t elli g enc e.5 Gh an a al s o s e t up di gi t al c en t er s t o r e du c e d a t a c o s t s and \\nenc o ur a g e in t ern a t i o n al in v e s t men t s9 \\nAI T r ainin g Schoo l  The M o r oc c an g o v ernmen t o pene d A fri c a’ s fir s t AI tr ainin g s choo l, E ur o me d Schoo l o f Di gi t al \\nE n gine erin g and Art ifi ci al In t elli g enc e, t o o ff er tr ainin g in a dv anc e d t e chno l ogi e s lik e r o bo t i cs, \\nart ifi ci al in t elli g enc e and cy ber s e curi t y .6\\nC o mpe t i t iv ene ss Imp r o vin g e c o no mi c \\nfr e e d o m  The R w and an g o v ernmen t boo s t e d t he e c o no mi c fr e e d o m – wi t h R w and a r ankin g 2nd amo n g 47 \\nc o un tri e s in S ub-Sah ar an A fri c a r e gi o n,in t he 20 20 Ind e x o f E c o no mi c F r e e d o m. I t’ s al s o t ak en \\ns tr o n g me a sur e s t o be c o me t he 2nd r ank e d c o un tr y in A fri c a f o r E a s e o f D o in g Bu s ine ss7 \\n Buil din g gl o bal m ar k e t \\nc o n fi d enc e “I beli e v e Gh an a is po is e d t o o v ert ak e s o me o f t he mo s t po w erf ul emer gin g e c o no mi e s o f t he w o r l d \\nand c a t ap ul t t he en t ir e A fri c an c o n t inen t t o an a dv anc e d di gi t al l e a g u e. ” \\nC lu s t er H e a d- Sm art A fri c a, T a t a C o mmuni c a t i o n s T r an sf o rm a t i o n Ser vi c e s Limi t e d (T CT S)8\\nSo ur c e s: 1. IF C R epo rt 2. Bl oo mber g  3 . This isA fri c a  , 4. W eH ubIT  5. RDB  6. V en tur e sA fri c a  7 . H eri t a g e  8. T a t aC o mmuni c a t i o n s , 9 . . Minis tr y o f C o mmer c e . Bl oo mber g  G o v ernmen t s in \\nC ul t iv a t in g c o un tri e s \\no ff er t he s tr o n g e s t \\nsup po rt t hr o u gh a \\nr an g e o f amb i t i o u s \\nini t i a t iv e s.\\n\\nAfrica Developer Ecosystem 2021 62 So ur c e s: 1. C apa ci t y M e di a  2. A fri c an.Bu s ine ss 3 . T r a d e. GO V , 4. In t elR e gi o n 5. S ync e dR e vi e w 6. DailyN e ws 7 .A c c en tur e An aly s is & In t er vi e ws P h y s i c al C ap i t al Imp r o vin g in t erne t \\nin fr a s tru c tur e W i t h p l anne d in v e s t men t s o f $360M, E gyp t aim s t o imp r o v e in t erne t c o nne c t ivi t y and upgr a d e in t erne t \\ns pe e d s o f 60M pe o p l e in rur al ar e a s1  wi t h $360M o f p l anne d in v e s t men t s.\\nInc r e a s in g b r oa dband \\npene tr a t i o n In 20 20, t he Ni g eri an C o mmuni c a t i o n s C o mmiss i o n (N C C) anno unc e d $732M o f in v e s t men t s in t o \\nr e v amp in g and b uil din g in fr a s tru c tur al fib r e ne t w o r k s and $137M o f in v e s t men t s in  t he ne w N a t i o n al \\nBr oa dband P l an t o a chi e v e 7 0% b r oa dband pene tr a t i o n b y 20 252 \\nH um an C ap i t al In f o rm a t i o n and \\nc o mmuni c a t i o n s \\nt e chno l ogy (I CT) In f o rm a t i o n and c o mmuni c a t i o n s t e chno l ogy (I CT): M CIT E gyp t l aunche d t he “ Our F u tur e is Di gi t al” \\nt o tr ain 100,000 y o un g E gyp t i an s and d e v el o p t heir I CT skill s in ar e a s o f hi gh-m ar k e t d em and, \\ninclu din g w eb s i t e d e s i gn, d a t a an aly s is, and di gi t al m ar k e t in g3 \\nDi gi t al skill s tr ainin g P o s t all oc a t i o n o f f undin g fr o m C O VID- 19 b u d g e t, Ni g eri an g o v ernmen t is s c alin g up i t s p r ogr am s t o \\no ff er 500,000 y o u t h tr ainin g in di gi t al skill s, inclu din g art ifi ci al in t elli g enc e and r o bo t i cs, c odin g and \\nmo r e.4\\nT e chno l ogy A dv anc e d t e chno l ogy \\nf ocu s Ni g eri an G o v ernmen t is p l annin g t o s e t up a C en tr e f o r AI and R o bo t i cs (CF AIR) f ocu s e d o n \\nemer gin g t e chno l ogi e s, inclu din g ne t w o r kin g, r e s e ar ch d e v el o p men t, AI5\\nAI s pe cifi c po rt al E gyp t h a s l aunche d a s pe ci al AI P o rt al t o sho w c a s e i t s f ocu s o n di gi t aliz a t i o n, n a t i o n al AI s tr a t e gy \\nand t he l a t e s t AI e v en t s and p r o j e c t s6\\nC o mpe t i t iv ene ss R e f o rmin g l a ws and \\nr e g ul a t i o n s K en y an and E gyp t i an g o v ernmen t h a v e en a c t e d ne w b ill s and d a t a p riv a cy l a ws t o c r e a t e a mo r e \\nf a v o r ab l e en vir o nmen t f o r s t artup s and a ttr a c t mo r e in v e s t men t s; Ni g eri a and So u t h A fri c a l a g o n \\nt his fr o n t.7 \\n So u t h A fri c a S t a gn an t \\nBu s ine ss La ws “S t artup s h a v e t o c o mp ly wi t h s ame r e g ul a t i o n s and s t and ar d s a s a 5000+ emp l o y e e c o mpan y” \\n(F o und er , So u t h A fri c a S t artup)7 whi ch r e quir e r e s o ur c e-in t en s iv e a dminis tr a t i o n t h a t c an o v er ly \\ncumber s o me and c o s t ly f o r s t artup s t h a t h a v e o nly a f e w emp l o y e e s. Whil e So u t h A fri c a \\nh a s emb r a c e d t heir \\ns t a tu s qu o , A dv ancin g \\nc o un tri e s ar e r ap i dly \\nimp r o vin g t heir \\nt e chno l ogy and \\nr e g ul a t o r y l and s c ape.'),\n",
       " Document(page_content='Africa Developer Ecosystem 2021 50A c c e ss t o in f o rm al \\ne du c a t i o n o p t i o n s \\ndiff er s f o r c o un tri e s \\na c r o ss gr o wt h \\ntr aj e c t o ri e s. E du c a t i o n \\np r ogr am s ar e wi d ely \\na c c e ss ib l e in \\nM ain t ainin g and \\nA dv ancin g c o un tri e s. \\nSo ur c e s: 1. A c c en tur e An aly s is & In t er vi e ws L oc al E du c a t o r s P an-A fri c a E du c a t o r s \\nM ain t ainin g ● In a d di t i o n t o i t s s tr o n g univ er s i t y p r ogr am s, So u t h A fri c a h a s a s tr o n g \\ne c o sy s t em o f boo t c amp s and o nline s choo l s wi t h r e g ul a t i o n s t h a t m ak e \\nL&D f undin g e a s i er t o p r ocur e t o fin anc e p r ogr am s1 \\n● I t s ho me-gr o wn c odin g boo t c amp s t end t o h a v e l ar g er cl a ss s iz e s \\n(300-500+) and o ff er a gr e a t er v ari e t y o f c o ur s e s, r an gin g fr o m \\nf und amen t al t o a dv anc e d1 \\nA dv ancin g ● Ni g eri a and K en y a ar e ho me t o a v ari e t y o f l ar g e s o ft w ar e skill tr ainin g \\np r o vi d er s, whil e E gyp t r eli e s mo r e o n i t s r o b u s t g o v ernmen t s po n s o r e d \\nuniv er s i t i e s and gl o bal o nline c odin g p r ogr am s \\n● W i t h t he p r e s enc e o f c odin g p r ogr am s o ff er e d b y And el a, D e c a g o n, and \\nM o rin g a, Ni g eri an / K en y an s tu d en t s h a v e a c c e ss t o s tr o n g l e arnin g p r ogr am s \\na s t he e c o sy s t em d e v el o p s \\nC ul t iv a t in g ● As di gi t al e c o sy s t em s imp r o v e, e du c a t o r s ar e e xpandin g t heir e ff o rt s \\nt o C ul t iv a t in g c o un tri e s \\n● So me r e gi o n al p r o vi d er s o per a t e l oc ally , inclu din g NIIT in Gh an a and L e W a g o n \\nin M o r oc c o \\n● The s e c o un tri e s aim t o boo s t d o me s t i c-l e d o p po rtuni t i e s. F o r e x amp l e, t he \\nR w and an g o v ernmen t o pene d R w and a c odin g a c a d em y f o r s o ft w ar e and \\nw eb d e v el o p men t skill s tr ainin g \\nE mer gin g ● Boo t c amp s and c odin g s choo l s h a v e a mo r e limi t e d p r e s enc e in E mer gin g \\nc o un tri e s. T r a di t i o n al univ er s i t i e s and s choo l s d o min a t e t he e c o sy s t em \\n● C odin g boo t c amp s and a c a d emi e s h a v e be en o pene d a s e dt e ch s in \\nc o ll abo r a t i o n wi t h p riv a t e c o mpani e s lik e Or an g e Di gi t al C en t er and So n a t el \\nA c a d em y du e t o t he l a ck o f o t her f undin g \\nN a s c en t ● C odin g s choo l s ar e p rim arily s e t up b y N GOs empo w erin g and up skillin g \\ny o un g pe o p l e  in N a s c en t c o un tri e s wi t h f o und a t i o n al and in t erme di a t e IT skill s \\n● Whil e Ug and a h a s a f e w c odin g s choo l s and boo t c amp s, o t her c o un tri e s h a v e \\ne v en f e w er o p t i o n s\\n\\nAfrica Developer Ecosystem 2021 5 1Ther e ar e f e w er c odin g \\ns choo l s  a v ail ab l e in \\nC ul t iv a t in g, E mer gin g, \\nand N a s c en t c o un tri e s \\nSo ur c e s: 1. A c c en tur e An aly s is & In t er vi e ws L oc al E du c a t o r s P an-A fri c a E du c a t o r s \\nM ain t ainin g ● In a d di t i o n t o i t s s tr o n g univ er s i t y p r ogr am s, So u t h A fri c a h a s a s tr o n g \\ne c o sy s t em o f boo t c amp s and o nline s choo l s wi t h r e g ul a t i o n s t h a t m ak e \\nL&D f undin g e a s i er t o p r ocur e t o fin anc e p r ogr am s1 \\n● I t s ho me-gr o wn c odin g boo t c amp s t end t o h a v e l ar g er cl a ss s iz e s \\n(300-500+) and o ff er a gr e a t er v ari e t y o f c o ur s e s, r an gin g fr o m \\nf und amen t al t o a dv anc e d 1 \\nA dv ancin g ● Ni g eri a and K en y a ar e ho me t o a v ari e t y o f l ar g e s o ft w ar e skill tr ainin g \\np r o vi d er s, whil e E gyp t r eli e s mo r e o n i t s r o b u s t g o v ernmen t s po n s o r e d \\nuniv er s i t i e s and gl o bal o nline c odin g p r ogr am s \\n● W i t h t he p r e s enc e o f c odin g p r ogr am s o ff er e d b y And el a, D e c a g o n, and \\nM o rin g a, Ni g eri an / K en y an s tu d en t s h a v e a c c e ss t o s tr o n g l e arnin g p r ogr am s \\na s t he e c o sy s t em d e v el o p s \\nC ul t iv a t in g ● As di gi t al e c o sy s t em s imp r o v e, e du c a t o r s ar e e xpandin g t heir e ff o rt s \\nt o C ul t iv a t in g c o un tri e s \\n● So me r e gi o n al p r o vi d er s o per a t e l oc ally , inclu din g NIIT in Gh an a and L e W a g o n \\nin M o r oc c o \\n● The s e c o un tri e s aim t o boo s t d o me s t i c-l e d o p po rtuni t i e s. F o r e x amp l e, t he \\nR w and an g o v ernmen t o pene d R w and a c odin g a c a d em y f o r s o ft w ar e and \\nw eb d e v el o p men t skill s tr ainin g \\nE mer gin g ● Boo t c amp s and c odin g s choo l s h a v e a mo r e limi t e d p r e s enc e in E mer gin g \\nc o un tri e s. T r a di t i o n al univ er s i t i e s and s choo l s d o min a t e t he e c o sy s t em \\n● C odin g boo t c amp s and a c a d emi e s h a v e be en o pene d a s e dt e ch s in \\nc o ll abo r a t i o n wi t h p riv a t e c o mpani e s lik e Or an g e Di gi t al C en t er and So n a t el \\nA c a d em y du e t o t he l a ck o f o t her f undin g \\nN a s c en t ● C odin g s choo l s ar e p rim arily s e t up b y N GOs empo w erin g and up skillin g \\ny o un g pe o p l e  in N a s c en t c o un tri e s wi t h f o und a t i o n al and in t erme di a t e IT skill s \\n● Whil e Ug and a h a s a f e w c odin g s choo l s and boo t c amp s, o t her c o un tri e s h a v e \\ne v en f e w er o p t i o n s\\n\\nAfrica Developer Ecosystem 2021 52In f o rm al e du c a t o r s \\na d ap t e d t heir ap p r oa ch \\ndurin g t he C o vi d- 19 \\npand emi c b y b rin gin g \\nin ne w s o ur c e s \\no f f undin g, o ff erin g \\nr emo t e l e arnin g \\no p po rtuni t i e s, and \\nenh ancin g t heir \\ncurri culum.1\\nSo ur c e s: 1. A c c en tur e An aly s is & In t er vi e ws N o t ab l e Ini t i a t iv e s C h all en g e s Uni qu e So lu t i o n s \\nPri o ri t iz e d s tu d en t sup po rt vi a \\nc o rpo r a t e f undin g and a gil e  \\ncurri culum d e v el o p men t S tu d en t s h a d limi t e d a c c e ss t o t e chni c al \\nr e s o ur c e s and f a cili t i e s  in a r emo t e mod el ● E xp l o r e d al t ern a t iv e f undin g vi a c o rpo r a t e s  t o \\np r o vi d e f o r t e chni c al in fr a s tru c tur e t o s tu d en t s \\n● Qui ckly p iv o t e d t o r e o pen f a cili t i e s  a s C O VID- 19 \\nr e s tri c t i o n s e a s e d \\nD e clinin g curri culum r el e v anc e in r emo t e mod el \\nhind er e d s tu d en t r e t en t i o n ● D e v el o pe d ne w in-ho u s e curri culum  p l a cin g \\nf ocu s o n men t o r ship and sup po rt \\nC o ll abo r a t e d wi t h k e y emp l o y er s \\nt o a d ap t t o shift in g d em and and \\nr emo t e mod el s H a d no r emo t e ap p li c an t v e tt in g c apab ili t i e s ● R e-d e s i gne d ap p li c an t t e s t in g me t hod s  \\n(o nline t e s t in g and p r oc t o rin g, e t c.) and \\nch an g e d emp l o y er tr ainer r e quir emen t s \\nW i t ne ss e d inc r e a s e d d em and fr o m emp l o y er s  \\nt o r e skill and up skill emp l o y e e s ● W o r k e d cl o s ely wi t h k e y emp l o y er s t o modify \\ncurri culum per ne w ne e d s and sy s t em s \\nS up po rt e d t he d e v el o per s b y \\np r o vi din g in fr a s tru c tur e and \\nmodifi e d tr ainin g s D e v el o per s s tru g gl e d wi t h a c c e ss t o ba s i c \\nr e s o ur c e s  lik e el e c tri ci t y , in t erne t, and \\nw o r kin g s pa c e ● P art ner e d wi t h C CH ub t o p r o vi d e a c o w o r kin g \\ns pa c e t o d e v el o per s  and a c c e ss t o qu ali t y in t erne t \\nY o un g d e v el o per s h a d a s tru g gl e d wi t h r emo t e \\nw o r k be c au s e o f s o ft skill ch all en g e s ● Inc r e a s e d f ocu s o n c o mmuni c a t i o n and s o ft \\nskill s whil e p r o vi din g tr ainin g o n c o ll abo r a t i o n \\nand c o mmuni c a t i o n'),\n",
       " Document(page_content=\"Africa Developer Ecosystem 2021 63P h y s i c al C ap i t al La g gin g in t erne t \\nin fr a s tru c tur e N a s c en t c o un tri e s h a v e mo r e limi t e d in t erne t in fr a s tru c tur e wi t h l o w in t erne t pene tr a t i o n and \\na v ail ab ili t y1. The y al s o s tru g gl e wi t h hi gh in t erne t p ri cin g (1.6x o f C ul t iv a t in g c o un tri e s) and e x c e ss iv e \\nt a x a t i o n. F o r e x amp l e, Ug and a is l aunchin g a 1 2% ne w in t erne t t a x2. G o v ernmen t-en f o r c e d in t erne t \\nshu t d o wn s, inclu din g Ug and a and T anz ani a limi t in g in t erne t durin g el e c t i o n s,3 al s o limi t gr o wt h.)\\nBarri er s limi t d e v el o per \\npo p ul a t i o n “In t erne t c o s t s ar e v er y hi gh, and ISP s ar e no t s tr o n g. M o s t o f t he t ime, w e h a v e t o r ely o n mo b il e \\nho t s po t s t o g o o nline and w o r k. This c r e a t e s e v er y d a y ch all en g e s f o r s o ft w ar e d e v el o per s. ” \\nSo ft w ar e D e v el o per , Ug and a1\\nH um an C ap i t al Limi t e d f ocu s o n \\nup skillin g and tr ainin g Ther e is limi t e d a c t ivi t y in t erm s o f di gi t al skill s tr ainin g und ert ak en b y emer gin g and N a s c en t \\nc o un tri e s’ g o v ernmen t s.1 \\nT e ch t al en t no t a t o p \\np ri o ri t y “ G o v ernmen t h a s no t t ak en an y a d di t i o n al s t ep s t o enh anc e di gi t al skill s o r tr ain pe o p l e. Durin g \\nC O VID- 19 , t he f ocu s w a s o n t he w ell-bein g o f pe o p l e and e c o no mi c c o ndi t i o n s o f t he c o un tr y , and \\nt her e h a v e no t be en an y s pe cifi c ini t i a t iv e s t o enh anc e t he di gi t al skill s. \\nT unis i a AI E xpert1\\nT e chno l ogy H u a w ei part ner ship s \\na c r o ss t he r e gi o n I v o r y C oa s t h a s part ner e d wi t h H u a w ei t o d e s i gn i t s n a t i o n al di gi t al e c o no m y s tr a t e gy c all e d “ C ô t e \\nd’I v o ir e N uméri qu e 2030” (Di gi t al C ô t e d’I v o ir e 2030). Sene g al is mo vin g all g o v ernmen t d a t a and \\ndi gi t al p l a tf o rm s fr o m f o r ei gn s er v er s t o a ne w n a t i o n al d a t a c en t er .4,5 \\nLimi t e d part ner ship s \\nand d epend enc e o n \\nC hine s e firm s  Whil e g o v ernmen t s h a v e part ner e d and tri e d t o imp r o v e t e chno l ogi c al c apab ili t i e s, t her e h a s be en a \\nhi gh d epend enc e o n C hine s e firm s f o r t he s ame6\\nC o mpe t i t iv ene ss G o v ernmen t ini t i a t iv e s E mer gin g c o un tri e s h a v e c r e a t e d t ar g e t e d ini t i a t iv e s t o imp r o v e in t erne t a c c e ss and t he s t artup \\nl and s c ape whil e N a s c en t c o un tri e s c o pe wi t h f undin g ch all en g e s and limi t e d g o v ernmen t sup po rt1 \\nG o v ernmen t \\ns po n s o r e d S t artup \\nf und In l a t e 20 20, Al g eri a l aunche d i t s fir s t f und f o r s t artup s t o a d dr e ss t he g ap in t he m ar k e t.7\\n “The f undin g s c ene in Ug and a is qui t e s m all. O ne o f t he m ain ch all en g e s f a cin g Ug and an t e ch \\nen tr ep r eneur s is l a ck o f a c c e ss t o f undin g, a s t he c o un tr y h a s f e w in v e s t men t firm s. ” \\nDi gi t al H e al t h A c c e ss CE O Hil d a As iim w e1E mer gin g c o un tri e s’ \\ng o v ernmen t s ar e \\ngr a du ally imp l emen t in g \\nt e ch-fri endly ini t i a t iv e s, \\nwhil e N a s c en t c o un tri e s’ \\ng o v ernmen t s ar e \\nlimi t e d in t heir \\nsup po rt. \\nSo ur c e s: 1. A c c en tur e An aly s is & In t er vi e ws 2. QZ  3 . BBC 4. Di g. w a t ch  5. AllA fri c a  6. V oaN e ws   7 . A frik anH er oe s\\n\\nAfrica Developer Ecosystem 2021 64A p pendix\\n\\nAfrica Developer Ecosystem 2021 65S ur v e y s F i el d e d and an alyz e d a sur v e y o f s o ft w ar e d e v el o per s a c r o ss \\nt he 1 6 t ar g e t m ar k e t s \\nN=1,600 \\nSe c o nd ar y \\nR e s e ar ch \\n& In t er vi e ws C o ndu c t e d in t er vi e ws wi t h l oc al e xpert s and c o mp il e d e xt ern al \\nr e s e ar ch o n t he f o r c e s in flu encin g t he d e v el o per l and s c ape \\n25 \\nT o t al in t er vi e ws \\nc o mp l e t e d t o d a t eD e t ail s o n o ur r e s e ar ch and \\nr epo rt in g me t hod o l ogy \\nC o ndu c t \\nR e s e ar ch\\n\\nAfrica Developer Ecosystem 2021 66M od el L e v er a g e d p rim ar y and s e c o nd ar y d a t a s o ur c e s t o qu an t ify t he Y oY \\ns o ft w ar e d e v el o per po p ul a t i o n ch an g e D e t ail s o n o ur r e s e ar ch and \\nr epo rt in g me t hod o l ogy \\nQu an t ify \\n& M ap \\n1. F o rm al E du c a t i o n 2. IT In fr a s tru c tur e \\n3 . Self-I d en t ifi e d \\nD e v el o per 4. F o rm al \\nE du c a t i o n G r o wt h F a c t o r s \\n% N e w Pr o f e ss i o n al s \\nA ttri t i o n F a c t o r s \\n% Pr o f e ss i o n al \\nJ o b L o ss \\n20 2 1 Pr o f e ss i o n al D e v el o per \\nP o p ul a t i o n Siz e\\n\\nAfrica Developer Ecosystem 2021 6 7D e t ail s o n o ur r e s e ar ch and \\nr epo rt in g me t hod o l ogy \\nOu t p u t s D e v el o per Siz e M od el \\nA p p r o xim a t e d e v el o per \\npo p ul a t i o n in A fri c a \\nE x e cu t iv e S umm ar y \\nHi gh-l e v el findin g s and c o mparis o n s \\na c r o ss an alyz e d m ar k e t s \\nAn aly s is R epo rt \\nW ri tt en r e vi e w o f A fri c a d e v el o per \\nm ar k e t and ho w i t’ s ch an gin g\\n\\nAfrica Developer Ecosystem 2021 68G oogl e's miss i o n is t o o r g aniz e t he w o r l d's in f o rm a t i o n and m ak e i t \\nuniv er s ally a c c e ss ib l e and u s e f ul. Thr o u gh p r odu c t s and p l a tf o rm s lik e \\nSe ar ch, M ap s, Gm ail, Andr o i d, G oogl e P l a y , C hr o me and Y o uT ube, \\nG oogl e p l a y s a me anin gf ul r o l e in t he d aily liv e s o f b illi o n s o f pe o p l e \\nand h a s be c o me o ne o f t he mo s t wi d ely-kno wn c o mpani e s in t he \\nw o r l d. G oogl e is a sub s i di ar y o f Alp h abe t Inc. \\nA c c en tur e is a gl o bal p r o f e ss i o n al s er vi c e s c o mpan y wi t h l e a din g \\nc apab ili t i e s in di gi t al, cl o u d and s e curi t y . C o mb inin g unm a t che d \\ne xperi enc e and s pe ci aliz e d skill s a c r o ss mo r e t h an 40 indu s tri e s, w e \\no ff er S tr a t e gy and C o n sul t in g, In t er a c t iv e, T e chno l ogy and Oper a t i o n s \\ns er vi c e s — all po w er e d b y t he w o r l d’ s l ar g e s t ne t w o r k o f A dv anc e d \\nT e chno l ogy and In t elli g en t Oper a t i o n s c en t er s. Our 6 7 4,000 pe o p l e \\nd eliv er o n t he p r o mis e o f t e chno l ogy and hum an in g enui t y e v er y d a y , \\ns er vin g cli en t s in mo r e t h an 1 20 c o un tri e s. W e emb r a c e t he po w er o f \\nch an g e t o c r e a t e v alu e and sh ar e d su c c e ss f o r o ur cli en t s, pe o p l e, \\nsh ar eho l d er s, part ner s and c o mmuni t i e s. V is i t u s a t \\nwww .a c c en tur e.c o m. A u t ho r s\"),\n",
       " Document(page_content='Africa Developer Ecosystem 2021 11T he 20 2 1 gr o wt h \\nr a t e v ari e d fr o m \\nc o un tr y t o c o un tr y \\na c r o ss all gr o wt h \\ns t a g e s \\nC o un tr y Pr o f e ss i o n al \\nD e v el o per s \\n(20 20) M a gni tu d e \\nC h an g e % C h an g e Pr o f e ss i o n al \\nD e v el o per s \\n(20 2 1) % o f N o n-A g. \\nW o r kf o r c e % T o t al \\no f A fri c a \\n \\nSo u t h A fri c a 119K +2K 2.0% 1 2 1K 1.4% 17% \\nE gyp t 87K +2K 2.5 % 89K 0.6 % 1 2% \\nNi g eri a 84K +5K 6.0% 89K 0.3% 1 2% \\nK en y a 58K +2K 3 .0% 60K 0.6 % 8% \\nM o r oc c o 47K + 3K 6.0% 50K 1.0% 7% \\nGh an a 18K - 2.0% 18K 0.2% 2% \\nR w and a 4K - -3 .0% 4K 0.2% 1% \\nI v o r y C oa s t 9K - 1.0% 9K 0.2% 1% \\nT unis i a 2 1K +2K 7 .5 % 23K 1. 1% 3% \\nSene g al 9K + 1K 6.5 % 10K 0.4% 1% \\nAl g eri a 28K + 1K 4.0% 29K 0.4% 4% \\nT anz ani a 1 5K - 2.0% 1 5K 0.2% 2% \\nE t hi o p i a 18K + 1K 6.0% 19K 0. 1% 3% \\nUg and a 11K - -1.0% 11K 0.3% 2% \\nC amer oo n 20K + 1K 4.0% 2 1K 0.4% 3% \\nM o z amb i qu e 6K + 1K 10.0% 7K 0.2% 1% \\n \\n \\nR e s t o f A fri c a 136K +5K 4.0% 14 1K 0.2% 20% \\nA fri c a T o t al 690K 26K 3 .8% 71 6K 0.4% 100% \\nSo ur c e s: A c c en tur e An aly s is \\nN o t e: Pr o f e ss i o n al d e v el o per s r o und e d t o t he ne ar e s t t ho u s and t o be tt er illu s tr a t e d e gr e e \\no f ch an g e Y oY – A p ril 20 20 t o O c t o ber 20 2 1; % ch an g e r o und e d t o t he ne ar e s t 0.5 %\\n\\nAfrica Developer Ecosystem 2021 1 2The m aj o ri t y o f A fri c an \\nd e v el o per s ar e men. The \\na v er a g e l oc al d e v el o per is \\ns e v en y e ar s y o un g er t h an \\nt heir gl o bal c o un t erpart \\nand h a s up t o t hr e e y e ar s \\no f e xperi enc e. \\nSo ur c e s: 1. A c c en tur e A fri c an So ft w ar e D e v el o per S ur v e y fi el d e d 9 /27 /2 1- 10/22/2 1, 2. S t a ck O v erfl o w D e v el o per S ur v e y 20 20 and 20 2 1 \\nA GE PROFILE \\nN =  1 5 98* 80% o f d e v el o p ers ar e < 35 y e ars o l d \\nA v g. A fri c an d e v el o p er is 29 y e ars o l d v s. 36 gl o bal a v er a g e2 \\nPROFESSI ONAL SENI ORITY LEVEL \\nN =  1300, only inclu d e s p r o f e ss i on al d e v el o p ers G end er Pr o fil e \\nN=1 6001A g e Pr o fil e \\nN=1 5 98* \\n80% o f d e v el o per s ar e < 35 y e ar s o l d \\nA v g. A fri c an d e v el o per is 29 y e ar s o l d v s. 36 gl o bal a v er a g e2\\n33% \\n47%\\n17%18-24 \\n25-34 \\n35-44 \\n45-54 3% \\nPr o f e ss i o n al Seni o ri t y L e v el \\nN=1300, o nly inclu d e s p r o f e ss i o n al d e v el o per s \\n46 % \\n32%\\n22%J uni o r (0- 3 y e ar s) \\nMi d ( 4-6 y e ar s) \\nSeni o r (7+ y e ar s) 1 5 % F em al e \\n85 % M al e\\n\\nAfrica Developer Ecosystem 2021 13A fri c an d e v el o per s h a v e \\ns tr o n g p r ogr ammin g  \\ne xperi enc e in bo t h w eb and \\nmo b il e. O ne in t w o \\nd e v el o per s b uil d s ap p s f o r \\nAndr o i d. \\nSo ur c e s: 1. A c c en tur e A fri c an So ft w ar e D e v el o per S ur v e y fi el d e d 9 /27 /2 1- 10/22/2 1, \\nAndr o i d \\niOS \\nS t and ar d W eb \\nM od ern W eb \\nPr ogr e ss iv e W eb \\nW ind o ws \\nBr o ws er \\nM a cOS \\nC l o u d \\nI O T \\nBl ock ch ain W eb M o b il e D e skt o p / \\nBr o ws er O t her PLA TF ORMS \\nPUBLISHED ON \\nN = 1 600 \\nN o t e: a v er a g e r e s p ond en t \\ns el e c t e d 1.7 p l a tf o rm s P l a tf o rm s p ub lishe d o n1\\nN=1 600 \\nN o t e: A v er a g e r e s po nd en t \\ns el e c t e d 1.7 p l a tf o rm s \\n47% \\n23% 47% \\n44% \\n30% \\n24% \\n13% \\n7% 1 5 % \\n10% \\n5 % Andr o i d \\niOS \\nS t and ar d W eb \\nM od ern W eb \\nPr ogr e ss iv e W eb \\nW ind o ws \\nBr o ws er \\nM a cOS \\nC l o u d \\nI O T \\nBl ock ch ain \\nM o b il e W eb D e skt o p /Br o ws er O t her\\n\\nAfrica Developer Ecosystem 2021 14So ft w ar e d e v el o per \\nc o mpen s a t i o n r o s e b y \\nan a v er a g e o f 11% in \\n20 2 1 . Mi d-t o-s eni o r \\nl e v el d e v el o per s and \\np r o f e ss i o n al s in A dv ancin g \\nc o un tri e s bene fi t e d mo s t \\nfr o m t his tr end. Y oY C h an g e in Annu al Inc o me (no min al) \\nMi d-l e v el d e v el o per s \\n( 4-6 y e ar s o f e xperi enc e) N = 291, 452 $23 .5K \\n+9% \\n+ 11% \\nSeni o r-l e v el d e v el o per s \\n(7+ y e ar s o f e xperi enc e) N=25 9 , 395 $25.5K \\n$50K\\n$55.5K \\nG r ap h D e t ail s: N = 550 (20 20), 847 (20 2 1) (1) o nly inclu d e s t ar g e t m ar k e t s and p r o f e ss i o n al d e v el o per s >4 y e ar s o f e xperi enc e (2) e x clu d e s r e s po nd en t s t h a t m ak e l e ss t h an \\n$100/ y e ar and mo r e t h an $500K/ y e ar fr o m c odin g p r o f e ss i o n ally So ur c e s: S t a ck O v erfl o w D e v el o per S ur v e y 20 20 and 20 2 1 N o t e: In fl a t i o n inc r e a s e d fr o m 20 20 t o 20 2 1 b y ~10% \\n(7 . 1 5 % t o 7 .85 %) a c r o ss A fri c a (S t a t is t a) and t he a v er a g e e x ch an g e r a t e f o r So u t h A fri c a R and t o USD inc r e a s e d ~1 2% (0.06 11 t o 0.0685) 20 20 20 2 1\\n\\nAfrica Developer Ecosystem 2021 1 5M o r e d e v el o per s f o und f ull-t ime \\nj o b s, and t he unemp l o ymen t \\nr a t e d e c r e a s e d. Y oY C h an g e in E mp l o ymen t Sh ar e \\n5 %1 5 %\\n48%1 6 %\\n45 %+ 1% \\n+4% \\no v er all \\n20 20 20 2 1 + 3%5 %\\nG r ap h d e t ail s: N=1 556/24 1 5 (20 20), 1732/2525 (20 2 1) (1) o nly inclu d e s t ar g e t m ar k e t s (2) E x clu d e s “ p r e f er no t t o s a y” So ur c e s: S t a ck O v erfl o w D e v el o per S ur v e y 20 20 and 20 2 1 \\nN o t e: In fl a t i o n inc r e a s e d fr o m 20 20 t o 20 2 1 b y ~10% (7 . 1 5 % t o 7 .85 %) a c r o ss A fri c a (S t a t is t a) and t he a v er a g e e x ch an g e r a t e f o r So u t h A fri c a R and t o USD inc r e a s e d ~1 2% (0.06 11 \\nt o 0.0685) Pr o f e ss i o n al d e v el o per s al s o \\nenj o y e d a gr e a t er sh ar e o f \\nf ull-t ime w o r k. \\n Pr o f e ss i o n al d e v el o per s \\nal s o enj o y e d a  gr e a t er \\nsh ar e o f f ull-t ime w o r k \\nF r e el anc e \\nP art-t ime \\nF ull-t ime\\n\\nAfrica Developer Ecosystem 2021 1 6D em and \\nf o r A fri c an \\nd e v el o per s \\nr e a che s \\nne w hei gh t s \\n17 . \\nBoo min g s t artup e c o sy s t em \\n23 . \\nR emo t e w o r k unl ock s \\ngl o bal o p po rtuni t i e s \\n30. \\nL oc al b u s ine ss e s hir e d e v el o per s \\nt o gr o w o nline\\n\\nAfrica Developer Ecosystem 2021 17Boo min g \\ns t artup \\ne c o sy s t em\\n\\nAfrica Developer Ecosystem 2021 1840% \\nInc r e a s e in t o t al ne w s t artup d e al s cl o s e d  \\nin 20 20 c o mpar e d t o 20 19 in A fri c a1A fri c an s t artup s \\nr ais e d o v er $4b n  \\nin 20 2 1, gr o win g \\nb y o v er 2.5x in \\n20 2 1 o v er t he \\np r e vi o u s y e ar \\nwi t h fin t e ch \\nm akin g up f o r \\no v er h alf  o f \\nin v e s t men t s.1 \\n88% \\nI nc r e a s e in s e e d r o und s and b ri d g e \\nr o und s in 20 20 c o mpar e d t o 20 191 \\n$4.3B+ \\nR ais e d b y A fri c an t e ch s t artup s  fr o m \\nl oc al and in t ern a t i o n al in v e s t o r s in 20 2 12 \\nSo ur c e s : 1. M a x C uv elli er , The Bi g D e al; 2. Es t im a t e d V C f undin g per c o un tr y \\nba s e d o n d a t a a v ail ab l e fr o m M a x C uv elli er , The Bi g D e al and P art e ch P art ner s\\n\\nAfrica Developer Ecosystem 2021 19$1,800 \\n$1,600 \\n$1,400 \\n$1,200 \\n$1,000 \\n$800 \\n$600 \\n$400 \\n$200 \\n$0 \\n0K 20K 40K 60K 80K 100K 1 20K 140K \\nSo ur c e s: 1. T e chC runch ; 2. M a x C uv elli er , The Bi g D e al; 3 . Es t im a t e d V C f undin g per c o un tr y ba s e d o n d a t a a v ail ab l e fr o m M a x C uv elli er , The Bi g D e al and P art e ch P art ner s 81% o f v en tur e c ap i t al \\nf undin g  in A fri c a w en t \\nt o t he t o p f o ur \\nc o un tri e s  wi t h t he \\nhi ghe s t po p ul a t i o n o f \\ns o ft w ar e d e v el o per s. T o t al v en tur e c ap i t al f undin g in 20 2 1 v er su s d e v el o per po p ul a t i o n, b y c o un tr y3 20 20 V en tur e c ap i t al f undin g ($M) \\n20 2 1 s o ft w ar e d e v el o per po p ul a t i o n K en y aNi g eri a\\nE gyp tSo u t h A fri c a \\nSene g al\\nM o r oc c o 81% \\no f v en tur e c ap i t al in A fri c a \\nw en t t o t he t o p 4 c o un tri e s \\nwi t h t he gr e a t e s t # o f \\ns o ft w ar e d e v el o per s\\n\\nAfrica Developer Ecosystem 2021 20 So ur c e s: 1. P art e ch P art ner s  2. In t er vi e ws M ain t ainin g and \\nA dv ancin g c o un tri e s \\nar e ho t s po t s f o r s t artup \\nin v e s t men t, whil e \\nE mer gin g and N a s c en t \\nc o un tri e s s tru g gl e t o \\nfind f undin g  d e s p i t e \\nbein g c ri t i c al emp l o y er s \\nf o r d e v el o per s. N umber o f E qui t y \\nR o und s per c o un tr y \\n(20 20)1 \\n72 \\nM ain t ainin g \\n7 0 \\nA dv ancin g \\n10 \\nC ul t iv a t in g \\n4 \\nE mer gin g \\n3 \\nN a s c en t A v g. T o t al E qui t y \\nF undin g r ais e d \\nper c o un tr y \\n(20 20, USD Mn)1 \\n$25 9 \\n$29 4 \\n$45 \\n$6\\n$4L e d b y Ni g eri a ($30 7M)  and K en y a ($305M) , \\nA dv ancin g C o un tri e s s e cur e d mo r e f undin g \\nt h an e v er in 20 20, and t his su c c e ss h a s \\nall o w e d t heir s t artup e c o sy s t em s t o gr o w \\nf a s t er t h an e v er and t ak e a dv an t a g e o f di gi t al \\ntr an sf o rm a t i o n s p urr e d b y t he pand emi c.1 \\nGh an a  l e a d s t he C ul t iv a t in g c o un tri e s wi t h a \\ns tr o n g in fl o w o f USD $111M . I t’ s be c o min g an \\na ttr a c t iv e t e ch m ar k e t f o r l e a d er s lik e G oogl e \\nand T wi tt er s e tt in g up o ffi c e s.1 \\n“R ais in g c ap i t al is t he h ar d e s t t hin g t o d o \\nin E t hi o p i a,  e s pe ci ally if y o u ar e in v o lv e d in \\nt e chno l ogy . In v e s t o r s w an t s o me t hin g vis ib l e \\nand t an gib l e; t he y d o n ’ t r e ally t hink t e ch is t he \\nf u tur e her e. ” \\n S t artup F o und er , E t hi o p i a2')]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
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    "stuff_answer = stuff_chain(\n",
    "    {\"input_documents\": docs, \"question\": question}, return_only_outputs=True\n",
    ")"
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    "outputId": "f78a63fb-6fed-4e09-d72a-11dd5df7b1b1"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'output_text': 'This question cannot be answered from the given context '\n",
      "                'because it does not mention any challenges facing developers.'}\n"
     ]
    }
   ],
   "source": [
    "pprint(stuff_answer)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CWp0N603jBWO"
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   "source": [
    "## Thank you 💖✨✨\n",
    "\n",
    "Congratulations on finalizing Gemini Fundermentals Lesson 2\n",
    "\n",
    "And thank you for your time and attention!\n",
    "\n",
    "Questions? Comments? Ideas? Inspos?\n",
    "\n",
    "*   Let me know [@ngesa254]( https://twitter.com/Ngesa254 ), [@techx_africa]( https://twitter.com/techx_africa)!\n",
    "\n",
    "Keep Building!"
   ]
  }
 ],
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