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Fixing typos, vertextai to vertex ai #572

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Feb 7, 2024
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Fixing typos, vertextai to vertex ai #572

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8 changes: 4 additions & 4 deletions docs/howtos/customisations/gcp-vertexai.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
"id": "a6199b61-8084-4a2f-8488-2ddc4c260776",
"metadata": {},
"source": [
"# Using Vertext AI\n",
"# Using Vertex AI\n",
"\n",
"Vertex AI offers everything you need to build and use generative AI—from AI solutions, to Search and Conversation, to 100+ foundation models, to a unified AI platform. You get access to models like PaLM 2 which can be used to score your RAG responses and pipelines with Ragas instead of the default OpenAI.\n",
"\n",
Expand Down Expand Up @@ -111,7 +111,7 @@
"]\n",
"```\n",
"\n",
"By default Ragas uses `ChatOpenAI` for evaluations, lets swap that out with `ChatVertextAI`. We also need to change the embeddings used for evaluations for `OpenAIEmbeddings` to `VertextAIEmbeddings` for metrices that need it, which in our case is `answer_relevancy`."
"By default Ragas uses `ChatOpenAI` for evaluations, lets swap that out with `ChatVertexAI`. We also need to change the embeddings used for evaluations for `OpenAIEmbeddings` to `VertexAIEmbeddings` for metrices that need it, which in our case is `answer_relevancy`."
]
},
{
Expand All @@ -134,7 +134,7 @@
"creds, _ = google.auth.default(quota_project_id=\"tmp-project-404003\")\n",
"# create Langchain LLM and Embeddings\n",
"ragas_vertexai_llm = ChatVertexAI(credentials=creds)\n",
"vertextai_embeddings = VertexAIEmbeddings(credentials=creds)"
"vertexai_embeddings = VertexAIEmbeddings(credentials=creds)"
]
},
{
Expand All @@ -159,7 +159,7 @@
" # check if this metric needs embeddings\n",
" if hasattr(m, \"embeddings\"):\n",
" # if so change with VertexAI Embeddings\n",
" m.__setattr__(\"embeddings\", vertextai_embeddings)"
" m.__setattr__(\"embeddings\", vertexai_embeddings)"
]
},
{
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