This repository is a demonstration of deploying Qdrant, a high-performance vector database, in a distributed manner.
-
Updated
Apr 1, 2024 - Python
This repository is a demonstration of deploying Qdrant, a high-performance vector database, in a distributed manner.
Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.
A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference, enjoy.
A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.
VoicePassport 🎤is an innovative authentication system leveraging voice recognition technology, blockchain ⛓️ security, and vector databases 📊 for robust and seamless user verification.
Legal Documents Multilingual Semantic Search
A Neural Search Tool that helps you find relevant papers to read based on your interests
A blog recommendation engine built for text driven static sites
Qdrant Vector Database + FastAPI
Backend service of AutoMate Gen-AI application. Includes API endpoints for chat and vision operations.
RAG Backend for Aleph Alpha LLMs.
Build amazing AI and RAG-powered applications, plain and simple🪂
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
A chat bot trained on a document.
A chatbot, built with Streamlit, that download scientific papers and answer to question related to them. Powered by Groq and LLama3
findthatbit.com + findthatbit.info
Retrieval Augmented Generation
PaperChat is an AI-powered chat application designed to handle PDF documents through a user-friendly interface. Users can upload PDF files, ask questions related to the content within those documents, and receive responses generated using advanced natural language processing (NLP) techniques.
Chatbot that provides information to tourists using GenAI
Langchain, OpenAI and Streamlit app Data Already embedded, This app demonstrate, persistence database querying(Similarity search). Returns Top 2 -k when a user make a search.
Add a description, image, and links to the qdrant-vector-database topic page so that developers can more easily learn about it.
To associate your repository with the qdrant-vector-database topic, visit your repo's landing page and select "manage topics."