vector-search

Semantic code search plugin for Claude Code using hybrid vector search + BM25. 98% accuracy, 5x faster than grep.

A python library for efficient KNN search within metric spaces using multiple distance functions.

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

Pixel-native visual RAG ported to Rust on the ruvector ANN substrate (HNSW + IVF-Flat) — screenshot/document retrieval over visual embeddings, a Rust port of PixelRAG, with a metaharness benchmark CLI: npx rupixel

A local, open-source alternative to NotebookLM. Chat with your documents using any LLM.

Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL.

Scalable Embedded Vector Index for Go and Rust

RAMen is a fast in-memory data store like Redis, but built for AI: drop-in Redis protocol, native vector search, semantic caching, and a built-in MCP server for agents. Single Go binary, BSD-3.

local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools

Embedded on-device vector database for AI agent memory and local RAG — disk-based HNSW in an LSM-tree, C++/Python, optimized for low memory footprint

High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU [SIGMOD'26]

A minimalistic vector database that can be used to search for similar vectors in logarithmic time.

Rust-based retrieval system with hybrid search (vector + BM25), async ingestion, and gRPC-first API

A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embeddings. Built from scratch for lattice-addressed memory.

[SIGMOD 2026] DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search.

Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.

OLD Resume Matcher Website (Not used anymore)

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.

Local-first vector similarity search for Jazz Tools