970 results for “topic:qdrant”
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Represent, send, store and search multimodal data
The no-code platform for building custom LLM Agents
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
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.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Python client for Qdrant vector search engine
On-premises conversational RAG with configurable containers
🚀 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:
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
Serverless Modal + FastAPI + React + ColPali + Qdrant + GPT4o Vision RAG (V-RAG) Demo
Rust client for Qdrant vector search engine
Context-Engine MCP - Agentic Context Compression Suite
A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.
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 assistant🤖
FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB
♾️ toolkit for air-gapped LLMs on consumer-grade hardware
Claude forgets everything. This fixes that. 🔗 www.npmjs.com/package/claude-self-reflect
KEA Research - Multi-AI collaboration platform that combines responses from multiple AI models, cross-validates information, and delivers verified, consensus-backed answers.
A modern desktop application for exploring, managing, and analyzing vector databases
⚡Ship RAG Solutions Quickly and effortlessly
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
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 — summarize, explore, and ask anything.
An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for production.
AI-powered GitHub issue intelligence - semantic duplicate detection, cross-repo search, and intelligent issue routing