AI Search Tools combine large language models with retrieval mechanisms to find specific information across documents and the web. These tools use semantic and full-text search to generate grounded answers with verifiable citations. This type of software allows you to query private datasets and external APIs without relying on a single search index. Researchers and enterprise teams use these apps to automate information gathering from internal archives and live web sources. Self-hosting these tools ensures that sensitive research queries and private documents remain on your own infrastructure.
This page lists 11 open source tools in the AI Search Tools category. The most popular are Khoj, Vane and Scira. Most use the Apache-2.0 or AGPL-3.0 license, and 11 offer an official Docker image.
A self-hostable AI assistant that connects to personal documents and the web to provide verifiable research citations.
A privacy-focused AI answering engine that combines web search with local or cloud based language models.
An agentic research platform that plans, retrieves, and cites information from the web and various APIs.
Combine full text and semantic search with a vector database for applications requiring hybrid search capabilities.
An AI search engine that generates grounded answers with interactive UI components instead of plain markdown text.
An AI research assistant that performs agentic searches across the web and private documents with citations.
Provides explainable, citation‑backed answers and workflow automation across enterprise data via self‑hosted AI layer.
Federated search and RAG platform that queries multiple sources without moving or indexing data.
A privacy-focused web search engine that provides automatic full-text indexing for visited websites and local files.
An enterprise search server that crawls websites, file systems, and data stores for full text indexing.
A self-hosted search engine that uses AI to index and retrieve memes via semantic content search.
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