Build SQL and vector retrieval context layers with TiDB

Use TiDB when an agent needs one transactional SQL store that can also hold embeddings and serve vector retrieval for RAG, memory, or app-context workflows.

agentskillexchange Updated 28 repo stars

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Build SQL and vector retrieval context layers with TiDB

Use TiDB when an agent needs one transactional SQL store that can also hold embeddings and serve vector retrieval for RAG, memory, or app-context workflows.

Prerequisites

TiDB or TiDB Cloud, an embedding model, SQL client or application connector, source documents or application records

Installation

No source-backed install or usage instructions could be extracted automatically. Review the upstream project before running this skill in a sensitive workflow.

Documentation

Source

agentskillexchange/skills/tree/main/skills/build-sql-and-vector-retrieval-context-layers-with-tidb commit 2f086105a9

Frequently asked questions

npx skillmds@latest add agentskillexchange/build-sql-and-vector-retrieval-context-layers-with-tidb