All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.

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.

Chatbot that provides information to tourists using GenAI

This is a demonstration project to provide LLM-based question answering over the website and documents of German Federal Joint Committee (G-BA).

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.

We are going to showcase how to build a superhero character AI - where users can chat with their favourite superheroes.

Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!

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.

Retrieval Augmented Generation

Question-Answering ChatBot leveraging Qdrant for vector search, Deepset Haystack for NLP pipeline, and Llama3 for advanced language understanding.

Doppalf is a RAG powered AI chat bot application

Bootstrap a Qdrant vector database cluster on Fly.io

Build amazing AI and RAG-powered applications, plain and simple🪂

MedRaga 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.

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

Implementing Vector Database on CoNaLa dataset to retrieve program snippets relevant to user queries. This is a very simple simulation of a Vector Database.

A Retrieval Augmentation Generation Based QnA AI Bot developed Based on Company Dataset and Documentation utilizing Gemini Pro LLM

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

Life Inclusion For Everyone