Repository Index

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

[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.

• ai
• faiss
• langchain
• llama-index

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

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

• deep-learning
• pytorch
• ai
• mlops

MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.

• amazon-web-services
• database
• fulltext-search
• json

Object-storage native graph database with branching and typed ontology

• apache-arrow
• datafusion
• graph-database
• knowledge-graph

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

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

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