enterprise-search

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.

🧠 AI-powered enterprise search engine 🔎

Search UI. Libraries for the fast development of modern, engaging search experiences.

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

Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.

🥥 Coco AI App - Search, Connect, Collaborate, Personal AI Search and Assistant, all in one space.

AI-first Search & Answer Engine for work. Open-source alternative to Glean.

Dataset and benchmark for RAG on company internal documents.

AI Powered Search and Chat for Orgs - Think ChatGPT meets Google Search but powered by your data.

A cutting-edge search engine project tailored specifically for the AI product

Blazingly fast, multi tenant, faceted search API

🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered Enterprise Search, all in one space.

Official Elastic connectors for third-party data sources

Self-hosted RAG platform for AI document search across GitHub, Notion, Google Drive, local files, and web sources with citations.

Docker environment for Fess Enterprise Search Server.

Official Findings of EMNLP 2026 implementation of Corpus2Skill: compile a document corpus into a navigable skill hierarchy that LLM agents explore at query time, with document lookup instead of a serving-time vector-search service.

Your AI agents can't see your files. ctxd connects your cloud data and makes it searchable via API, CLI, or MCP.