A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
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Updated
Jun 12, 2024 - Rust
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
A tiny embedding database in pure Rust.
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
Vemcache is an in-memory vector database.
Rust client library for ChromaDB
This tool provides a fast and efficient way to convert text into vector embeddings and store them in the Qdrant search engine. Built with Rust, this tool is designed to handle large datasets and deliver lightning-fast search results.
⚡️Lightning fast in-memory VectorDB written in rust🦀
Verifiable vector similarity queries PoC with Halo2.
ArcMind Vector DB
In-memory vector key value store
A vector database for querying meaningfully similar data.
A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
A serverless-friendly vector database in your hands
Semantic search and relevance engine for e-commerce
This is a thin wrapper around LanceDb (VectorDb) meant to provide a means to create/store/query embeddings in a LanceDb without the need to grok the lower level Arrow/ColumnarDb tech.
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