Open Source AI Projects
Discover 87+ curated GitHub repositories for building with AI. Updated daily with trending projects, frameworks, and tools.
Showing 1–6 of 6 projects
redis
redis/redis
Redis is a high-performance in-memory data structure server supporting caching, real-time analytics, and vector search capabilities. Now includes native vector database features for AI applications.
Battle-tested infrastructure component that now supports vector operations, making it ideal for RAG systems and real-time AI applications.
ragflow
infiniflow/ragflow
RAGFlow is an open-source RAG engine that combines retrieval-augmented generation with agent capabilities. Features advanced document parsing, knowledge graph integration, and multi-agent workflows.
Production-ready RAG platform with advanced features like graphRAG and agent integration that goes beyond basic document Q&A.
llama_index
run-llama/llama_index
Leading framework for building LLM-powered agents over custom data with comprehensive RAG capabilities, vector database integration, and multi-agent support. Provides production-ready tools for data-driven AI applications.
Industry standard for RAG applications with excellent documentation, active development, and comprehensive tooling for data-centric AI.
milvus
milvus-io/milvus
High-performance, cloud-native vector database built for scalable similarity search and AI applications. Provides distributed architecture with support for billion-scale vector operations.
Production-grade vector database essential for large-scale RAG and similarity search applications with enterprise reliability.
quivr
QuivrHQ/quivr
Quivr is an opinionated RAG framework that simplifies integration of GenAI into applications, supporting multiple LLMs, vector stores, and file types with easy customization.
Saves weeks of development time by providing a production-ready RAG solution that works with any LLM or vector database.
Langchain-Chatchat
chatchat-space/Langchain-Chatchat
Langchain-Chatchat is a Python-based RAG and Agent application built on Langchain, supporting Chinese models like ChatGLM, Qwen, and Llama for local knowledge-based interactions.
Ideal for developers building Chinese-language AI applications or needing local knowledge base integration with popular Chinese LLMs.