1 रिपॉजिटरी
Awesome GitHub RepositoriesLLM SQL Querying
Connecting language models to relational databases to retrieve and process data via SQL.
Distinct from SQL Database Connectors: Specifically enables LLMs to interact with SQL databases, whereas the parent is general query execution.
Explore 1 awesome GitHub repository matching data & databases · LLM SQL Querying. Refine with filters or upvote what's useful.
Awesome LLM SQL Querying GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- timescale/pgai
timescale/pgai
5,802GitHub पर देखेंpgai is a PostgreSQL AI toolkit and framework designed to integrate large language models and vector embeddings directly into a database. It serves as a bridge for executing machine learning model requests and performing text-to-SQL translations within standard database queries. The project provides an automated vector embedding pipeline that handles the loading, parsing, and chunking of text from tables and unstructured documents. This system utilizes a background worker to synchronize embeddings automatically as source data changes and includes specialized tools for building retrieval-augme
Enables executing external machine learning model requests and text-to-SQL translations directly within standard database queries.
PLpgSQL
