This repository is a demonstration of deploying Qdrant, a high-performance vector database, in a distributed manner.
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Updated
Apr 1, 2024 - Python
This repository is a demonstration of deploying Qdrant, a high-performance vector database, in a distributed manner.
Legal Documents Multilingual Semantic Search
A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.
RAG Backend for Aleph Alpha LLMs.
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
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 blog recommendation engine built for text driven static sites
Qdrant Vector Database + FastAPI
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
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 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.
findthatbit.com + findthatbit.info
Backend service of AutoMate Gen-AI application. Includes API endpoints for chat and vision operations.
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.
News Observatory
A Neural Search Tool that helps you find relevant papers to read based on your interests
This repository holds a query engine LLM based on the vector DB of BigBasket products list
Build amazing AI and RAG-powered applications, plain and simple🪂
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