Vector + full-text search database built on object storage: cheap at scale, sub-10ms latency, used by Cursor, Notion and Linear.
Results for “search engines”
40 tools found
Software that lets you search your own video and audio library by typing what you remember, without uploading any of it to the cloud.
A nonprofit's grant reports, board minutes and policy documents pile up over the years and become impossible to search by keyword — DocuSmart lets staff just ask a question in plain English and get an answer pulled from that pile.
A search engine built for AI agents instead of humans — it hands back clean, structured answers instead of a page of blue links the agent then has to re-read and guess at.
Lets you search inside videos using plain English — like "find the scene where someone signs a contract" — instead of scrubbing through hours of footage or relying on manual tags someone forgot to add.
Adds a real search bar to your app or website without you having to run your own search server — upload your data, and it's instantly searchable, including by meaning, not just exact words.
An iPhone app where you dump anything — a photo, a voice note, a screenshot, a bookmark — and find it later just by describing what it was about, no folders needed.
A paid, EU-based search engine with no ads, no tracking and no algorithms — you pay €5/month and it doesn't sell or profile your searches.
Histiq is a browser extension that lets you search your browsing history and saved PDFs using natural language, powered by local AI embeddings that never leave your device.
A self-hosted recommendation platform that builds a personalized content-discovery model on your own machine, trained only on your own ratings.
An embedded, single-file database that combines graph relationships, vector similarity search, and full-text search — built for local AI, RAG, and agent-memory apps.
A search platform built for AI agents that indexes over 14,000 Python packages, 56,000+ agent skills, and 191 research papers, so agents can find current tools by describing what they need in plain language.
Declarative, SQL-like query language for building recommendation systems and search platforms, compiling to run across PostgreSQL, MongoDB, SQL Server, Oracle, and MariaDB.
Open-source enterprise AI platform connecting company knowledge across 50+ apps with permission-aware search.
Powerful and easily deployable Enterprise Search Server. ([Demo](https://search.n2sm.co.jp/), [Source Code](https://github.com/codelibs/fess)) `Apache-2.0` `Java/Docker`
Demo
Distributed and RESTful search engine. ([Source Code](https://github.com/opensearch-project/OpenSearch)) `Apache-2.0` `Java/Docker/K8S/deb`
SearXNG
Selenium based search engine and crawler with offline archiving. ([Source Code](https://gitlab.com/biolds1/sosse)) `AGPL-3.0` `Python/Docker`
Peer based, decentralized search engine server. ([Source Code](https://github.com/yacy/yacy_search_server)) `GPL-2.0` `Java/Docker/K8S`