{"repo":"endee-io/endee","free":true,"listed":false,"github":"https://github.com/endee-io/endee","clone":"git clone https://github.com/endee-io/endee.git","description":"Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/","language":"C++","stars":1309,"topics":["ai-search","ai-search-engine","ann","endee","hnsw","hybrid-search","image-search","vector","vector-database","vector-search-engine"],"license":"AGPL-3.0","category":"databases-storage","readme_excerpt":"High-performance AI Search & Intelligence platform for AI search, RAG, semantic search, and hybrid retrieval. Quick Start • Why Endee • Use Cases • Features • API and Clients • Docs • Contact Endee: AI Search & Intelligence Platform Endee is a high-performance AI Search & Intelligence platform built for AI search and retrieval workloads. It is designed for teams building RAG pipelines , semantic search , hybrid search , recommendation systems, and filtered vector retrieval APIs that need production-oriented performance and control. Endee combines vector search with filtering, sparse retrieval support, backup workflows, and deployment flexibility across local builds and Docker-based environments. The project is implemented in C++ and optimized for modern CPU targets, including AVX2, AVX512, NEON, and SVE2. If you want the fastest path to evaluate Endee locally, start with the Getting Started guide or the hosted docs at docs.endee.io. Why Endee - Built as a dedicated AI search and intelligence platform for AI applications, search systems, and retrieval-heavy workloads. - Supports dense vector retrieval plus sparse search capabilities for hybrid search use cases. - Includes payload filtering for metadata-aware retrieval and application-specific query logic. - Ships with operational features already documented in this repo, including backup flows and runtime observability. - Offers flexible deployment paths: local scripts, manual builds, Docker images, and prebuilt registry image","default_branch":null,"files":null,"tree":[],"storefront":"/r/endee-io","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/endee-io/endee/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."}