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Merge pull request #80 from couchbase-examples/update_capella_model_services_tutorial
Update RAG tutorials with Capella Model Service & Couchbase Search Vector Index
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capella-ai/langchain/RAG_with_Couchbase_Capella.ipynb

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capella-ai/langchain/__frontmatter.__md

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capella-ai/haystack/RAG_with_Couchbase_Capella.ipynb renamed to capella-model-services/haystack/RAG_with_Couchbase_Capella.ipynb

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capella-model-services/langchain/search_based/RAG_with_Capella_Model_Services_and_LangChain.ipynb

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capella-ai/langchain/capella_index.json renamed to capella-model-services/langchain/search_based/capella_index.json

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"enabled": true,
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"fields": [
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{
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"dims": 4096,
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"dims": 2048,
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"index": true,
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"name": "embedding",
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"similarity": "dot_product",
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---
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# frontmatter
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path: "/tutorial-capella-model-services-langchain-rag-with-search-vector-index"
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title: RAG with Capella Model Services, LangChain and Couchbase Search Vector Index
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short_title: RAG with Capella Model Services, LangChain and Search Vector Index
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description:
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- Learn how to build a semantic search engine using models from Capella Model Services and Couchbase Search Vector Index.
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- You will understand how to perform Retrieval-Augmented Generation (RAG) using LangChain and Capella Model Services.
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content_type: tutorial
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filter: sdk
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technology:
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- vector search
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tags:
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- Artificial Intelligence
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- LangChain
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- Search Vector Index
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sdk_language:
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- python
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length: 60 Mins
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---

capella-ai/llamaindex/RAG_with_Couchbase_Capella.ipynb renamed to capella-model-services/llamaindex/RAG_with_Couchbase_Capella.ipynb

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