Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Updated
May 18, 2024 - Rust
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
A cloud-native vector database, storage for next generation AI applications
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.
Rcpp bindings for the approximate nearest neighbors library hnswlib
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
PostgreSQL vector database extension for building AI applications
Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.
An R package for blocking records for record linkage / data deduplication based on approximate nearest neighbours algorithms.
Fast and minimal header-only graph-based index for approximate nearest neighbor search (ANNS).
What if an HNSW index was just a file, and you could serve it from a CDN, and search it directly in the browser?
Genkit AI framework plugin for HNSW vector database. save data into vector store for Retrieval Augmented Generation (RAG) implementation in Generative AI
Simple and Efficient DiskANN implementation
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
Fast approximate nearest neighbor searching in Rust, based on HNSW index
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