Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
-
Updated
Aug 29, 2024 - Python
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
VoicePassport 🎤is an innovative authentication system leveraging voice recognition technology, blockchain ⛓️ security, and vector databases 📊 for robust and seamless user verification.
A repository containing a modularized implementation of a Retrieval-Augmented Generation (RAG) model as Flask APIs.
Retrieval Augmented Generation
A state-of-the-art Retrieval-Augmented Generation (RAG) application using OpenAI, Qdrant vector store, embeddings, FastAPI, React for the UI, NewsAPI, Word Cloud, and Langchain. This project enables dynamic reading and QA on news articles, focusing on various people of interest, with real-time, personalized news insights.
A Streamlit web app for efficient management of Qdrant vector databases. Features include collection creation/deletion, point retrieval/search, and vector data upload, simplifying Qdrant operations through an intuitive interface.
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.
Build amazing AI and RAG-powered applications, plain and simple🪂
RAG Backend for Aleph Alpha LLMs.
A chatbot, built with Streamlit, that download scientific papers and answer to question related to them. Powered by Groq and LLama3
A Retrieval Augmentation Generation Based QnA AI Bot developed Based on Company Dataset and Documentation utilizing Gemini Pro LLM
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.
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
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.
Backend service of AutoMate Gen-AI application. Includes API endpoints for chat and vision operations.
News Observatory
This repository holds a query engine LLM based on the vector DB of BigBasket products list
A blog recommendation engine built for text driven static sites
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."