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Update RAG tutorials with Capella Model Service & Couchbase Search Vector Index #80
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5eb496e
Implement new RAG tutorials with Capella Model Service & Couchbase Se…
nithishr 4336632
Update frontmatter title for RAG tutorial to reduce length
nithishr a1b139e
Address Gemini comments
nithishr 18c1450
Update tutorial links and terminology in RAG notebook
nithishr 74449b8
Update terminology in RAG notebook for Couchbase Vector Search
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...model-services/langchain/search_based/RAG_with_Capella_Model_Services_and_LangChain.ipynb
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capella-model-services/langchain/search_based/frontmatter.md
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,20 @@ | ||
| --- | ||
| # frontmatter | ||
| path: "/tutorial-capella-model-services-langchain-rag-with-search-vector-index" | ||
| title: RAG with Capella Model Services, LangChain and Couchbase Search Vector Index | ||
| short_title: RAG with Capella Model Services, LangChain and Search Vector Index | ||
| description: | ||
| - Learn how to build a semantic search engine using models from Capella Model Services and Couchbase Search Vector Index. | ||
| - You will understand how to perform Retrieval-Augmented Generation (RAG) using LangChain and Capella Model Services. | ||
| content_type: tutorial | ||
| filter: sdk | ||
| technology: | ||
| - vector search | ||
| tags: | ||
| - Artificial Intelligence | ||
| - LangChain | ||
| - Search Vector Index | ||
| sdk_language: | ||
| - python | ||
| length: 60 Mins | ||
| --- |
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