#Qdrant
Showing 60 of 71 repositories tagged #qdrant, ranked by stars
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
A modular Agentic RAG built with LangGraph โ learn Retrieval-Augmented Generation Agents in minutes.
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Represent, send, store and search multimodal data
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.
The no-code platform for building custom LLM Agents
All-in-one platform for search, recommendations, RAG, and analytics offered via API
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
A 7-layer memory operating system for Hermes Agent โ persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.
On-premises conversational RAG with configurable containers
๐ Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative.
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
Serverless Modal + FastAPI + React + ColPali + Qdrant + GPT4o Vision RAG (V-RAG) Demo
Context-Engine MCP - Agentic Context Compression Suite
ไธไธชๆฌๅฐไผๅ ็AI็ฅ่ฏๅบ็ณป็ป๏ผRAG๏ผ๏ผ็จไบๆๆฌๅฐๆๆกฃๆฅๅ ฅ่พ ๅฏผๆ็ดขไธๅคงๆจกๅๅฏน่ฏๆต็จใ็ฎๅๆฏๆmdใtxtใpdf๏ผๆๆฌ๏ผใxlsxใcvs็ฑปๅใๆฏๆmcpๆๅก
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
Your fully proficient, AI-powered and local chatbot assistant๐ค
A modern desktop application for exploring, managing, and analyzing vector databases
An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for production.
AlumNet - AI-powered intelligent school history exhibition & alumni management system | AI ๆบ่ฝๆ กๅฒๅฑ็คบ็ณป็ป โ ๆ กๅๆๅพ
โกShip RAG Solutions Quickly and effortlessly
Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT.
๐ ็ตๅๆฐไปๆบ่ฝ้ฎๆฐ AI Agent๏ผๆ้ๅ็จไบ็ณป็ปๅญฆไน LangGraph ็ๅฎๆ้กน็ฎ๏ผๅบไบ LangGraphใFastAPIใQdrantใElasticsearchใMySQL ไธ React๏ผๅฎๆดๅฎ็ฐๅ ๆฐๆฎ็ฅ่ฏๅบใๆททๅๆฃ็ดขใ่ช็ถ่ฏญ่จ็ๆ NL2SQL ็ๆๆ ก้ชใSQL ๆง่กไธๆตๅผๆฅ่ฏขๅฑ็คบใๅๅ็ซฏๅฎๆดไปฃ็ ๅ จๆ ๅฏ่ท๏ผDocker ็ฏๅขไธ้ฎ้จ็ฝฒ๏ผ้ ๅฅ ai-agents-from-zero ๅ ่ดนๆ็จไธ็ซ ่ไปฃ็ ๅๆฏใ้ๅ็ณป็ปๅญฆไน ๅคงๆจกๅๅบ็จใๆฐๆฎๅๆ Agent ๅไผไธ็บง AI ๅทฅ็จ่ฝๅฐใ
An agentic AI application that allows you to chat with your papers and gather also information from papers on ArXiv and on PubMed
Turn topics, links, and files into AI-generated research notebooks โ summarize, explore, and ask anything.
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.
ใใธใฟใซๅบใฎใฌใใกใณใAIใๆบๅ (GENAI)ใใๅฎๅ จใญใผใซใซ(ใญใผใซใซLLM/OpenAIไบๆ)ใงๅใใ้ๅ ฌๅผใใญใธใงใฏใใSAML่ช่จผ(Keycloak)ใปRAG(Qdrant)ใปๆๅญ่ตทใใ(Whisper)ใป็ปๅ็ๆ(SD)ใปใใผใ ๅไฝใใฌใใธใใญใผใซใซๅฎ็ตใ
้ขๅ PRDใไธๅก่งๅใSOPใๆต็จๆๆกฃๅไบงๅๆชๅพ็่ฏๆฎๅ RAG ็ฅ่ฏๅบใ
From data to vector database effortlessly
Multi-agent AI research system โ 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.
๐ Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! โญ
Production RAG System Course
Cognitive Memory OS for AI Agents โ persistent, self-improving, multi-agent memory
MCP server giving AI agents full access to Julia's runtime via a live Gate โ code execution, introspection, debugging, testing, and semantic search
VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
Collaborative Multi-Agent RAG with CrewAI
RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).
Automated Deep Research with LLMs, web search, paper parsing, and didactic summarization.
Open-source, real-time collaborative AI canvas - notes, mini-apps, and agents on one infinite board.
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
Find your files with natural language and ask questions.
Multi-tenant RAG API powered by LightRAG/RAG-Anything. Auto-selects best parser (DeepSeek-OCR/MinerU/Docling) via complexity scoring
Agentic RAG to help you build a startup๐
๐ 100% local RAG system with one-command setup. Your data never leaves your server. AGPL-3.0
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
Dcup - Advanced RAG for Personal Knowledge โ
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
A community-driven dictionary that simplifies software, engineering and tech terms for all levels.
A virtual agent for your virtual books๐
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
Privacy-first semantic code navigation MCP server using RAG. Features deep AST multi-language support (Go, PHP/Laravel/WP, JS/TS/React, Python), 100% local LLMs (Ollama), and vector search (Qdrant) for AI IDEs like Cursor, Windsurf, Copilot, and Claude.
SQL-like query language and CLI for Qdrant vector search engine
Diagnose the performance of your RAG๐ฉบ
A reusable, open-source AI infrastructure designed for communities and organizations. It understands structured data, processes official announcements, and answers questions accurately by centralizing important information.
ๅบไบ LLM ็ Telegram ็พค่ๆบ่ฝ็ฎก็ๆบๅจไบบ โ ๆบ่ฝๅณ็ญใ็ฅ่ฏๅบ RAGใๅ ๅฎนๅฎกๆฅใ่ดด็บธๅญฆไน ใ่็ฝๆ็ดขใๅคๅฑ่ฎฐๅฟๆถๆ
Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.
To implement LLM as a services.
A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results
Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.