🤖 Generative AI using LangChain ⛓️

Welcome to the Generative AI with LangChain repository!
This project is a hands-on learning resource for mastering LangChain, a powerful framework for building LLM-driven applications like chatbots, RAG systems, agents, and more

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📚 Topics Covered

1. 📘 Introduction to LangChain – What, why & use cases
2. ⚙️ Components – Models, prompts, chains, tools
3. 🧠 Models – Integrating OpenAI, HuggingFace, etc.
4. ✍️ Prompts – Templates & formatting
5. 🧱 Structure & Output – Message types & chat flow
6. 🧾 Output Parsers – Extracting structured results
7. 🔗 Chains – LLMChain, Sequential, Router
8. 🌀 Runnables (P1 & P2) – Modular workflows
9. 📄 Loaders – Importing PDFs, CSVs, web pages
10. ✂️ Text Splitters – Breaking content into chunks
11. 🧠 Vector Stores – FAISS, Chroma, Pinecone
12. 🔍 Retrievers – Fetching relevant documents
13. 🔁 RAG – Retrieval-Augmented Generation
14. 🧬 RAG in LangChain – Build full RAG pipeline
15. 🧰 Tools – External APIs, search tools
16. 📞 Calling – Make API calls from chains
17. 🕵️ Agents – Zero-shot, ReAct, Chat agents

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🛠️ Tech Stack

• Python 🐍
• LangChain ⛓️
• OpenAI, HuggingFace 🤖
• FAISS / Chroma 🔍
• Flask (optional UI) 🎨