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Fast, exact, embedded vector database for local RAG: in-process, on-disk, GPU-optional, private by default
A general-purpose second-brain engine that auto-captures conversations and recalls them via semantic search + linked notes (graph)
Local PostgreSQL Internals Assistant with Ollama, pgvector, and MCP
Personal RAG System to chat with personal documents
A RAG Engine Primarily for Research Papers
Cost and latency comparison harness for AWS vector stores: S3 Vectors, OpenSearch Serverless NextGen, Aurora pgvector, and Pinecone.
A Django AI library for generating personalized content recommendation feeds based on pgvector.
65-question Python practice curriculum — fundamentals to AI engineering (RAG, LangGraph, FastAPI, vector DBs)
LanceDB-backed memory provider plugin for Hermes Agent.
Vector database for AI agents. Context layer, multi-tenant, RAM-frugal. Runs anywhere your model runs.
Agricultural Price RAG Chatbot | 172K+ records, ChromaDB vector search, sub-second retrieval across 268 mandis
Three-tier semantic memory for local AI agents — Claude Code, Gemini CLI, and LM Studio sharing one persistent brain (Postgres/pgvector + Neo4j + BGE-M3).
使用 QQ/微信 聊天记录结合向量数据库让AI更好的扮演对方的角色，在不微调模型的情况下可以达到可观的效果。把曾经的美好，续成往后的陪伴。 --续温
The AI-native database giving OpenClaw a real memory — vectors, graph & AutoML in one engine.