neuml/txtai๐ฅ active
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration
$ git clone https://github.com/automataIA/graphrag-rs.git๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
๐ฅ Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ๐ฅ. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
๐ Sycamore is an LLM-powered search and analytics platform for unstructured data.
Data from GitHub ยท snapshot Sep 24, 2026