Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
- anns
- nearest-neighbor-search
- faiss
- vector-search
Repository Index
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A library for efficient similarity search and clustering of dense vectors.
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
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
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
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Header-only C++/python library for fast approximate nearest neighbors
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
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
- kann
- vector-search
- approximate-nearest-neighbor-search
- simd
Fast Library for Approximate Nearest Neighbors
A simple, fast and versatile Datalog database
- key-value-store
- embedded-database
- fulltext-search
- vector-database
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
- approximate-nearest-neighbor-search
- k-nearest-neighbors
- knn-search
- nearest-neighbors
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)
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.
Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.
- nearest-neighbor-search
- quantization
- vector-database
- vector-search