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Using Qdrant, Fastembed, Google Cloud, OpenAI to build a Question Answer Cloud Based RAG System

RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.

A project to show good CLI practices with a fully fledged RAG system.

MedBot is a medical assistance application aimed at providing accurate and personalized medical information to healthcare professionals. It uses RAG technology to retrieve the latest medical research from trusted sources, augment it with patient data, and deliver personalized diagnoses and treatment plans.

Simple testbed for Qdrant Vector Database

The objective of this project is to create a chatbot that can be used to communicate with users to provide answers to their health issues. This is a RAG implementation using open source stack.

NodeJS Application to ask questions from files by uploading them. I have used open ai chat completion and embeddings. And to store embeddings I have used Qdrant (Vector DB).

This repository contains all the notebooks where I have written codes while I was exploring vector database and langchain.

Youtube GPT

Japanese lyrics search app with NLQ processing using OpenAI, LangChain, and Qdrant

"Ollama Movies Recommendation Chatbot" is a chatbot that uses Ollama, RAG, and Qdrant to provide personalized movie recommendations through a Gradio interface.

Explore how to perform Role Based Access Control in Qdrant Vector Datase

QDrant Vector Database with Python Tutorials

Retrieval Augmented Generation QnA application with Azure OpenAI and SpringAI

Parsing PDF, PPT, and Txt documents using LlamaParse, Qdrant, and the Groq model

This app allows users to search for products by either entering text or uploading an image, and retrieves relevant products from a database

The Project is End to End RAG application trained on RBI notification dataset of around more than 2000 vectors

News Observatory