Vector Search
Showing 10 of 46 projects
A Python library for blazing fast fuzzy and semantic text search using vectorization and approximate nearest neighbor techniques.
An embedded single-file SQL database written in Go, inspired by SQLite and designed for learning and lightweight use.
A read-only MySQL server for the Model Context Protocol (MCP) that enables AI assistants to safely explore databases and execute queries.
Ruby bindings for Annoy (Approximate Nearest Neighbors Oh Yeah), enabling fast nearest neighbor searches in Ruby applications.
A Ruby client library for interacting with the Milvus vector database API.
An Elixir client for Sphinx and Manticore Search engines, providing full-text search capabilities with SQL, native, and HTTP protocols.
A Rust CLI tool for working with OpenAI-compatible LLMs with interactive sessions, RAG support, and local memory.
Ruby bindings for Hnswlib, enabling approximate nearest-neighbor search via hierarchical navigable small world graphs.
Add natural language search to Wagtail images using OpenAI's CLIP model.
A comprehensive MongoDB plugin for Genkit providing vector search, text search, hybrid search, CRUD operations, and search index management.
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