Semantic Search

App: Elicit

Featured

AI for systematic literature review — search 125 million papers, extract data into tables, and screen at scale.

App: Consensus

Consensus responsibly uses AI to help you conduct research faster

App: Mem

Mem is an AI-powered workspace for notes and tasks.

App: Pieces for Developers

Pieces

Pieces organizes code snippets and context with AI.

App: Shortwave

An AI email client for Gmail that searches, drafts, organises, and schedules from a single prompt.

App: Pinecone

A fully managed vector database for semantic search and retrieval at billion-scale, with no infrastructure to run.

App: Qdrant

An open-source vector search engine written in Rust — fast, memory-efficient, and self-hostable.

App: Chroma

The embedding database that starts as a Python import and grows into a distributed cloud service.

App: Weaviate

An open-source AI-native database combining vector search, structured filtering, and built-in model integrations.

App: Exa

A search engine built for AI — embeddings-based retrieval that finds pages by meaning, not keyword overlap.

App: Glean

Glean Technologies, Inc.

Enterprise Work AI platform — permission-aware search across every company app, plus an assistant and agents that act on the results.

MCP: Patent & Literature Search

by Patsnap

New

Patsnap's MCP server for searching global patents across WIPO, EPO, USPTO, CNIPA, JPO and KIPO alongside scientific literature, returning records as AI-readable Markdown.

MCP: Compartment

by Max Freedom Pollard

New

Encrypted, fully offline agent memory: one local vault shared by every agent on the machine, AEAD-encrypted down to the embedding vectors, searched in about 12 ms.

MCP: Codanna

by Codanna

Local code intelligence MCP server that returns symbol context, call graphs and impact analysis in a single call — 15 languages, indexed on your own machine.

MCP: Qdrant

by Qdrant

Qdrant's official MCP server — semantic memory for AI assistants backed by a real vector database.