qdrant

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Represent, send, store and search multimodal data

The no-code platform for building custom LLM Agents

All-in-one infrastructure 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

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

HelixDB is a powerful, graph-vector database built in Rust for millisecond query latency and ease of use.

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.

Rust client for Qdrant vector search engine

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🤖

♾️ toolkit for air-gapped LLMs on consumer-grade hardware

FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB

⚡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!