Open Source AI Platform - AI Chat with advanced features that works with every LLM
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
π‘ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Open-source inference server and production cluster for all the models your agent needs.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
A new SOTA for RAG β an original retrieval architecture and an open-source knowledge base for humans and agents.
Python client for Qdrant vector search engine
π₯€ RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Benchmark for vector databases.
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
NucliaDB, The AI Search database for RAG
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corporaβwith retrieval and evaluation tooling included.
Local-first memory, decision engine, and governance harness for AI agents β portable across IDEs. Own the state. Rent the intelligence.
Local AI search for podcast and video archives on Apple Silicon: Whisper speech, Apple Vision OCR and SigLIP-2 visual search fused into one ranked list, with a trim editor and FCPXML export. FastAPI, vanilla JS, Tauri. Source-visible, all rights reserved.
Billion-scale embedded vector database built entirely on Parquet and Arrow.
Zero downtime embedding upgrades
Makra is a memory layer between the web and your AI agents. It serves real-time structured data from the open web at the cost of a vector search.