A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- search-engine
- typo-tolerance
- site-search
- database
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An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules.
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
- rust
- infrastructure
- search
- index
AI search engine and MCP server for bots and agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.
- elasticsearch
- hybrid-search
- search-engine
- vector-search
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
- search-engine
- semantic-search
- semantic-search-engine
- vector-search
A lightweight, lightning-fast, in-process vector database
- rag
- agent-skills
- embedded
- faiss
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
- search-engine
- search
- mysql
- sphinxsearch
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
- data-structures
- full-text
- search
- typo-tolerance
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
- sparse-vector
- hybrid-search
- bm25
- full-text-search
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
- rust
- database
- serverless
- bigdata
The AI search platform
- vespa
- search-engine
- big-data
- ai
HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
- redis
- redis-module
- search
- search-engine
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
- ai-native
- nearest-neighbor-search
- rag
- vector-search
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
- mysql
- embedded-database
- ai-agents
- copy-on-write
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
- search
- search-engine
- federated-query
- federated-search
All-in-one platform for search, recommendations, RAG, and analytics offered via API
- actix-web
- diesel
- postgresql
- qdrant
Internet search engine for text-oriented websites. Indexing the small, old and weird web.
- search-engine
- no-cloud
- small-web
- internet-search
JS Search is an efficient, client-side search library for JavaScript and JSON objects
- search
- database
- indexing
- performance
Based on lunr.js, but more flexible and customized.
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
- database
- drop-in-replacement
- in-memory
- kividb
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
- database
- embedable
- go
- in-memory
Smallest full text search engine (lucene replacement) built from scratch using inverted Roaring bitmap index, highly compact storage, operating in database and document modes