vector-search

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

AI agent microservice

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Open-source inference server and production cluster for all the models your agent needs.

Local-first search across your workspace, built for humans and AI agents.

All-in-one platform for search, recommendations, RAG, and analytics offered via API

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

Distributed vector search for AI-native applications

AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.

A SQLite extension for efficient vector search, based on Faiss!

Build LLM-powered applications in Ruby

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

Semantic Search & Call Graphs for AI Agents (100% Local)

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.

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

JVector: the most advanced embedded vector search engine

Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.

Collections of vector search related libraries, service and research papers

MemFree - Hybrid AI Search Engine & AI Page Generator

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Python client for Qdrant vector search engine

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Benchmark for vector databases.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

A @ClickHouse fork that supports high-performance vector search and full-text search.