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🎁 DBs
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 …
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Open-source vector similarity search for Postgres
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
⚡ A fast embedded library for approximate nearest neighbor search
🆕 A machine learning plugin which supports an approximate k-NN search algorithm for Open Distro.
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
A library for building and serving multi-node distributed faiss indices.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
A cloud-native vector database, storage for next generation AI applications
Vald. A Highly Scalable Distributed Vector Search Engine
A library for efficient similarity search and clustering of dense vectors.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
A tiny nearest-neighbor embedding database built with SQLite and Pytorch. (In development!)
A Python vector database you just need - no more, no less.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …
the AI-native open-source embedding database
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
The Open Source Feature Store for Machine Learning
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.