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.

An ambitious project using RAG to create specialized course planning for UCLA students based on major electives and personal interests. Enhancing an LLM with a vectorized data base of UCLA classes and short descriptions of them

This Python application creates a simple document assistant using Streamlit, pinecone (vector store) and a language model (openai) for generating responses to user queries.

Just training on langchain to improve RAG skills

RAG based conversational sales agent chatbot with Gradio frontend that can answer queries about BMW Mini cars and provide suitable recommendations based on personal info.

DocuQuery is a document querying application that utilizes Retrieval-Augmented Generation (RAG) and the Llama2 model for efficient information retrieval from large documents. This user-friendly tool supports PDF uploads and delivers quick, accurate responses to user queries.

Toy GraphRAG/Knowledge Graph implementation using The Silmarillion

Repository with demo code for LLM's (using Azure OpenAI and OpenRouter)

The Indian Bovine Classification project is an innovative web application designed to revolutionize the identification and study of Indian cattle breeds. Combining state-of-the-art image recognition technology with an intelligent chatbot system, this tool offers a comprehensive solution for classifying and learning about various Indian bovine breed

Cultivating linguistic forests from YC startup pitches using bio-inspired grammar trees to map pitch patterns.

Development and evaluation of a Retrieval-augmented generation (RAG) system based on Cleantech Media Articles

🚀 Revolutionize your data interaction with a cutting-edge chatbot built on Retrieval-Augmented Generation (RAG) and OpenAI’s GPT-4. Upload documents, create custom knowledge bases, and get precise, contextual answers. Ideal for research, business operations, customer support, and more!

This is a "Question and Answer" application built using IBM watsonx.ai flows engine. The project leverages a vector database to enhance the Large Language Model's (LLM) context awareness with a set of documents, specifically watsonxdocs.

example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat

Building an assistant for Boletin Oficial del Estado (BOE) and others BOP's using Retrieval Augmented Generation (RAG)

Generative AI RAG Chatbot for Electricity and Gas Company

Run locally your Rag Application Using Llama3 and Ollama