There are 3 repositories under qdrant topic.
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
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
All-in-one platform for search, recommendations, RAG, and analytics offered via API
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
On-premises conversational RAG with configurable containers
Python client for Qdrant vector search engine
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
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
Your fully proficient, AI-powered and local chatbot assistant๐ค
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.
FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB
โกShip 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!
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
Framework for benchmarking fully-managed vector databases
VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
An agentic AI application that allows you to chat with your papers and gather also information from papers on ArXiv and on PubMed
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
Agentic RAG with Langchain, Qdrant and CrewAI
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
Ruby wrapper for the Qdrant vector search database API
a local knowledge base based on chatgpt Embedding and qdrant, supporting data import and Q&A
Multimodal LLM Application with PyMuPDF4LLM
Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients
To implement LLM as a services.
Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama
Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.