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updated tutorial based upon 8.0 requirements #79
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| --- | ||
| # frontmatter | ||
| path: "/tutorial-jina-couchbase-rag-with-hyperscale-or-composite-vector-index" | ||
| title: Retrieval-Augmented Generation (RAG) with Jina AI using Couchbase Hyperscale and Composite Vector Index | ||
| short_title: RAG with Jina AI using Couchbase Hyperscale and Composite Vector Index and | ||
| description: | ||
| - Learn how to build a semantic search engine using Couchbase and Jina. | ||
| - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with Jina embeddings and language models. | ||
| - You'll understand how to perform Retrieval-Augmented Generation (RAG) using LangChain, Couchbase Hyperscale and Composite Vector Index. | ||
| content_type: tutorial | ||
| filter: sdk | ||
| technology: | ||
| - vector search | ||
| tags: | ||
| - Hyperscale Vector Index | ||
| - Composite Vector Index | ||
| - Artificial Intelligence | ||
| - LangChain | ||
| - Jina AI | ||
| sdk_language: | ||
| - python | ||
| length: 60 Mins | ||
| alt_paths: ["/tutorial-jina-couchbase-rag-with-hyperscale-vector-index", "/tutorial-jina-couchbase-rag-with-composite-vector-index"] | ||
| --- |
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| # frontmatter | ||
| path: "/tutorial-jina-couchbase-rag-with-fts" | ||
| title: Retrieval-Augmented Generation (RAG) with Couchbase and Jina AI using FTS | ||
| short_title: RAG with Couchbase and Jina | ||
| path: "/tutorial-jina-couchbase-rag-with-search-vector-index" | ||
| title: Retrieval-Augmented Generation (RAG) with Jina AI using Couchbase Search Vector Index | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Could we remove the fullform of RAG in the title? Since, this is crossing the 100 chars limit. |
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| short_title: RAG with Couchbase Search Vector Index and Jina | ||
| description: | ||
| - Learn how to build a semantic search engine using Couchbase and Jina. | ||
| - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with Jina embeddings and language models. | ||
| - You'll understand how to perform Retrieval-Augmented Generation (RAG) using LangChain and Couchbase using FTS. | ||
| - You'll understand how to perform Retrieval-Augmented Generation (RAG) using LangChain and Couchbase using Search Vector Index. | ||
| content_type: tutorial | ||
| filter: sdk | ||
| technology: | ||
| - vector search | ||
| tags: | ||
| - FTS | ||
| - Search Vector Index | ||
| - Artificial Intelligence | ||
| - LangChain | ||
| - Jina AI | ||
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