A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.
Python client for Qdrant vector search engine
One-command installer for a self-hosted AI stack on your own server: n8n, Ollama, Open WebUI, OpenClaw, Dify, Flowise, Supabase, ComfyUI, Qdrant & 30+ tools. Docker Compose, automatic HTTPS via Caddy, built-in monitoring. Free Zapier/Make alternative.
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.
Blazing fast framework for fine-tuning similarity learning models
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
🤖基于.NET搭建的企业级中台AI知识库智能体开源架构:AISkills技能管理、AI语音电话模式、智能体记忆、AI-Qdrant知识库、知识库重排模型、AI联网搜索、多智能体协同、聊天记录压缩策略、智能体权限管控、AgentFramework、RAG检索增强、本地Ollama AI模型调用、智能体技能可控加载、领域事件、一库多租户、Log4、Jwt、CAP、SignalR、Mcp、Hangfire、RabbitMQ、前端(Vue + Ant Design)
Ontology-Augmented Generation for AI agents.
Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.
End-to-end retail analytics and recommendation platform using PySpark, Kafka, PostgreSQL, Power BI, PyTorch Two-Tower, Qdrant, FastAPI, Docker and Azure.
Zero downtime embedding upgrades
Cross-border commerce Agent prototype with retrieval, order tools, persistent memory, and observable execution
Commodore 64 knowledge base for AI-assisted development — Qdrant vector search + FalkorDB knowledge graph, served over MCP