Vald. A Highly Scalable Distributed Vector Search Engine
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Updated
Jul 30, 2024 - Go
Vald. A Highly Scalable Distributed Vector Search Engine
A cloud-native vector database, storage for next generation AI applications
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!
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.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
mlpack: a fast, header-only C++ machine learning library
Cloud-native vector similarity search and storage with efficient, serverless scale-out
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search
Sephora needs a robust recommendation system that leverages product attributes and user reviews to deliver personalized recommendations.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Iconographic Visualization Inside Computational Notebooks
Efficient Retrieval with Learned Similarities
An overview and analysis of structures optimized for nearest neighbour searches.
Open-source vector similarity search for Postgres
The README profile of Shotit.
Approximate nearest neighbour search for microbial genomes based on hash metric
PostgreSQL vector database extension for building AI applications
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