Web application to monitor digital activity of a user

Document Chatbot using GenAI

🚀 Explore the power of AI with Gideon, your go-to Alumni Database Chatbot! 🤖💬 📊 Upload your CSV and start a conversation today – insightful alumni data insights are just a chat away! 🗂️🔍

Final year project based on NLP

Using LLMs with Ebooks and texts, developing Prompts, Agents, and Code with LangChain, using a Vector DB and Embeddings

The MultiPDF Chat App is a Python application that allows you to chat with multiple PDF documents. You can ask questions about the PDFs using natural language, and the application will provide relevant responses based on the content of the documents. This app utilizes a language model to generate accurate answers to your queries.

David Myriel's Blog

AI powered Video-Frame Analysis

Talk2PDF is an application that allows users to interact with their PDF files, enabling them to have a conversation or ask questions about the content.

A chatbot powered by a vector database containing all US supreme court cases

Utilizing Redis Vector Similarity Search, this demo project streamlines expense categorization from bank transactions. The approach harnesses pre-trained models, sidestepping the need for finetuning. This ensures efficient, accurate expense categorization without complex model adjustments

An example of Named-entity Recognition and relation mapping using an LLM and Vector Database. Also includes a Branching Hybrid-Search Chatbot to utilize extracted relations.

A GPT powered CLI chatbot to talk with your speeches 🤷🏾‍♂️

Python 3.10-slim with VectorDB (vectordb2==0.1.9) and certain models initialized, split by image tag for efficiency.

The open-sourced all-in-one cookbook for Retrieval Augmented Generation (RAG)

Pawsitive Retrieval RAG Project - Erdos Institute Deep Learning Boot Camp - Spring 2024

Jupyter notebooks for the short course "Building applications with vector databases"

This project is based on the Cocktail Recommendation System, which utilizes the Retrieval-Augmented Generation (RAG) approach to provide users with personalized cocktail recommendations based on their queries.