For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
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56,139 visible repositories in the index
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A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- search-engine
- typo-tolerance
- site-search
- database
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
- anns
- nearest-neighbor-search
- faiss
- vector-search
A library for efficient similarity search and clustering of dense vectors.
SeaweedFS is a distributed storage system for object storage (S3), file systems, Iceberg table buckets, and Lance vector buckets, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
- neural-network
- search-engine
- knn-algorithm
- hnsw
Search infrastructure for AI
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
- search-engine
- search
- typo-tolerance
- site-search
Open-source vector similarity search for Postgres
- nearest-neighbor-search
- approximate-nearest-neighbor-search
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
A vector index built on TurboQuant, written in Rust with Python bindings
- ann
- avx512
- embeddings
- faiss
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
Apache Doris is a real-time analytics and hybrid search database for AI agents.
- olap
- database
- hudi
- iceberg
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
- c-plus-plus
- python
- nearest-neighbor-search
- locality-sensitive-hashing
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
- search-engine
- search
- mysql
- sphinxsearch
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
- approximate-nearest-neighbor-search
- image-search
- nearest-neighbor-search
- recommender-system
🌌 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
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
A vector search SQLite extension that runs anywhere!
- sqlite
- sqlite-extension
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
- machine-learning
- computer-vision
- data-format
- deep-learning