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

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.

Retrieval Augmented Generation QnA application with OpenAI and SpringAI

A chatbot, built with Streamlit, that download scientific papers and answer to question related to them. Powered by Groq and LLama3

Have a chat with your Github project!

A chat bot trained on a document.

QDrant Vector Database with Python Tutorials

Retrieval Augmented Generation QnA application with Azure OpenAI and SpringAI

Helper package to spin-up a Qdrant instance without Docker

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.

Implemented vector embeddings on the dataset and store them in Qdrant a vector DB. Implemented LLM on the DB that can give contextual answers to the queries. Wraped this LLM as an API using FastAPI and streamlit frontend

A blog recommendation engine built for text driven static sites

Qdrant Vector Database + FastAPI

Revise your subjects with studybot

This repository is a demonstration of deploying Qdrant, a high-performance vector database, in a distributed manner.

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

Text to Image & Reverse Image Search Engine built upon Vector Similarity Search utilizing CLIP VL-Transformer for Semantic Embeddings & Qdrant as the Vector-Store

Aitrain-API es un backend que usando LangChain, Qdrant Y Postgres permite crear un Sistema RAG que ingesta multiples tipos de archivos con el proposito de generar los archivos de FineTunning necesarios para Entrenar un modelo de IA

findthatbit.com + findthatbit.info