{"repo":"PhilipJohnBasile/vecstore","free":true,"listed":false,"github":"https://github.com/PhilipJohnBasile/vecstore","clone":"git clone https://github.com/PhilipJohnBasile/vecstore.git","description":"Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.","language":"Rust","stars":16,"topics":["embeddings","hnsw","machine-learning","python","rag","rust","semantic-search","similarity-search","vector-database","vector-search"],"license":"MIT","category":"databases-storage","readme_excerpt":"VecStore The SQLite of vector search. Embed semantic search directly in your app—no server required. --- Why VecStore? Feature VecStore Pinecone/Weaviate FAISS --------- ---------- ------------------- ------- Runs in browser Yes No No No server needed Yes No Yes Hybrid search Yes Yes No Metadata filtering Yes Yes No Python + Rust + JS Yes Partial Python only --- Requirements - Rust 1.92+ (Edition 2024) - Platform: Windows, macOS, Linux, or WebAssembly --- Quick Start Rust Python JavaScript (Browser) --- Features Core - HNSW Index - Sub-millisecond search on 100K+ vectors - 9 Distance Metrics - Cosine, Euclidean, Dot Product, Manhattan, Hamming, Jaccard, and more - Metadata Filtering - SQL-like expressions: category = 'tech' AND score 0.5 - Hybrid Search - Combine vector similarity with BM25 keyword matching - Snapshots - Point-in-time backups and restore Browser-First - WASM Support - Full vector search in the browser, no backend - Offline-Capable - Works without network connection - Privacy-First - Data never leaves the user's device - Sub-ms Latency - 0.2ms search on 100K vectors Production - Batch Operations - Parallel ingestion for large datasets - Soft Delete + TTL - Flexible data lifecycle management - Write-Ahead Log - Crash recovery with wal enabled: true - gRPC + HTTP Server - Optional server mode for multi-client access --- Use Cases 1. Local RAG - Semantic search for LLM context retrieval 2. Browser Search - Privacy-first document search (legal, medical, financial)","default_branch":null,"files":null,"tree":[],"storefront":"/r/PhilipJohnBasile","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/PhilipJohnBasile/vecstore/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}