vector-search

Official Weaviate TypeScript Client

OasisDB: A minimal and lightweight vector database

Multi-agent AI research system — finds academic papers via semantic search & citation snowballing, then answers questions over them using agentic RAG with self-reflection. Built with LangGraph, FastAPI, Celery, and Qdrant.

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Samples about using vector in SQL Server and Azure SQL

Official Java client for Qdrant

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

High-quality search for AI-native applications.

🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐

Website for the Weaviate vector database

Awesome Weaviate

AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.

SNKV — a lightweight key-value store focused on simplicity, security and performance file based database , written using sqlite's b-tree directly. Now supports vector HNSW , Join the discussion: https://discord.gg/EUb4Y5qE

Official n8n node for interfacing with Qdrant

Reliable and Efficient Semantic Prompt Caching with vCache

Object storage for the AI age

Official repository of the kANNolo library.

Three examples of recommendation system pipelines with NVIDIA Merlin and Redis

Universal memory runtime for AI agents

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡