Statistics for topic approximate-nearest-neighbor-search

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/

Open-source vector similarity search for Postgres

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

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 c...

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Open-source vector similarity search for Postgres

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/

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 c...

Open-source vector similarity search for Postgres

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/

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 c...

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Node.js bindings for faiss

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

Open-source vector similarity search for Postgres

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 c...

Open-source vector similarity search for Postgres

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/

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 c...

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

A curated list of awesome works related to high dimensional structure/vector search & database

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.

Semantic search in Unity!

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

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/

Open-source vector similarity search for Postgres

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 c...

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

A curated list of awesome works related to high dimensional structure/vector search & database

An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:

PostgreSQL vector database extension for building AI applications