Python client for Qdrant vector search engine
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Updated
Jul 10, 2025 - Python
Python client for Qdrant vector search engine
NucliaDB, The AI Search database for RAG
Framework for benchmarking vector search engines
(distributed) vector database
Searching for structural similarities across billions of molecules in milliseconds
S3 vector database for LLM Agents and RAG.
Serverless, lightweight, and fast vector database on top of DynamoDB
V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin
AI song recommendations based on the feel of a song
PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.
Text/Image search for similar products
Comparing USearch to FAISS and other Vector Search engines on Billion-scale datasets
A visual search engine for Jumia that lets users search for products by uploading an image. It uses computer vision to find similar or identical products within the store's inventory, saving users time and providing a more personalized shopping experience.
A project aiming to leverage text embeddings and Milvus, a high-performance vector search engine, to detect duplicate job postings.
Python client library to access Aquila Network Neural Search Engine
Load and serve Neural Encoder Models
Python SDK for interacting with the Moorcheh Semantic Search API v1. Moorcheh provides ultra-fast, highly accurate vector similarity search and analysis capabilities based on information-theoretic principles.
C++ faiss Server for faiss 1.7 and above, works on mac m1 and linux.
Python package for labeing data more efficiently
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