AllanYiin/SQLRAG

SQL Server as a vector database, SQL Server Extenstion for RAG

28
/ 100
Experimental

This project helps developers integrate AI capabilities, specifically vector similarity search and large language model interactions, directly within their SQL Server databases. It allows you to store and query textual data embeddings and interact with OpenAI services, treating SQL Server as a vector database. Database developers and architects can use this to build applications that require semantic search or AI-powered responses based on their existing SQL Server data.

No commits in the last 6 months.

Use this if you are a SQL Server developer and want to add semantic search, similarity comparisons, or direct OpenAI API calls to your applications without moving data out of SQL Server.

Not ideal if you are not working with SQL Server or if you need a pre-built, end-user application for AI interactions rather than developer tooling.

database-development SQL-Server-extensions AI-integration semantic-search large-language-models
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

25

Forks

4

Language

C#

License

Last pushed

Dec 28, 2023

Commits (30d)

0

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