Awesome Opensource Ai

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

LlamaIndex is the document processing platform for AI

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

A lightweight, lightning-fast, in-process vector database

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.

Practical course about Large Language Models.

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

The open document intelligence platform for builders and hackers - DMS for the agentic world

Ground truth layer for humans and AI agents working together. Version control for knowledge.