A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- search-engine
- typo-tolerance
- site-search
- database
Repository Index
61,275 visible repositories in the index
1–24 of 25 · Most stars
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
- anns
- nearest-neighbor-search
- faiss
- vector-search
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
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
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
A lightweight, lightning-fast, in-process vector database
- rag
- agent-skills
- embedded
- faiss
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
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
- approximate-nearest-neighbor-search
- image-search
- nearest-neighbor-search
- recommender-system
Header-only C++/python library for fast approximate nearest neighbors
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
- space-partition-tree
- neighborhood-graph
- vector-search
- fresh-update
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
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
- ai
- ai-ocr
- gnn
- graph
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
- graph-algorithms
- graph-database
- graph-analysis
- kafka
Database for Android and JVM - first and fast, lightweight on-device vector database
One proximity graph for vector search, sparse products & attention across RAM, VRAM & NVMe, over dense vectors, sequences, shapes & geospatial sets in 14 languages 🔍
- kann
- vector-search
- approximate-nearest-neighbor-search
- simd
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
- knn-search
- non-metric
- neighborhood-graphs
- k-nn-graphs
Fast Library for Approximate Nearest Neighbors
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
- approximate-nearest-neighbor-search
- k-nearest-neighbors
- knn-search
- nearest-neighbors
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 vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
- embeddings
- go
- golang
- llm
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
- database
- embedable
- go
- in-memory
Swift database - fast, simple and lightweight (iOS, macOS)