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827 changes: 0 additions & 827 deletions capella-ai/langchain/RAG_with_Couchbase_Capella.ipynb

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20 changes: 0 additions & 20 deletions capella-ai/langchain/__frontmatter.__md

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"enabled": true,
"fields": [
{
"dims": 4096,
"dims": 2048,
"index": true,
"name": "embedding",
"similarity": "dot_product",
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20 changes: 20 additions & 0 deletions capella-model-services/langchain/search_based/frontmatter.md
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---
# 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
---