Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
- anns
- nearest-neighbor-search
- faiss
- vector-search
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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
A vector index built on TurboQuant, written in Rust with Python bindings
- ann
- avx512
- embeddings
- faiss
A lightweight, lightning-fast, in-process vector database
- rag
- agent-skills
- embedded
- faiss
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
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
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
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
Database for Android and JVM - first and fast, lightweight on-device vector database
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
- database
- graph
- client-server
- cross-platform
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
Distributed vector search for AI-native applications
- vectors
- vector-search
- cloud-native
- document-retrieval
A simple, fast and versatile Datalog database
- key-value-store
- embedded-database
- fulltext-search
- vector-database
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
- embeddings
- go
- golang
- llm
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
- bolt
- cypher
- database
- enterprise-solutions
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