This is Document Querying Chatbot which can chat with documents on given prompts

Learning and Implementing INGESTION, RETRIVAL-AUGMENTED-GENERATION. LLMS | PINECONE | LANGCHAIN | LANGSMITH |

This is a nextjs based application specifically made to utilise RAG( Retrieval Augmented Generation ) paradigm of Generative AI

This LLM based reddit bot uses OpenAI API to scrap comments from given subreddits posts links and allow the admin to have a QnA session in the context of whole comments of that specific post. Build in python using pineconeDB and docker.

An AI chatbot implementing RAG technique with Meta-Llama2-7b Large Language Model, along with langchain and pinecone vector databases.

A dating (match-making) app for serious daters with embeddings and vector database.

Welcome to the Medical Chatbot Assistant project! This repository contains a powerful and efficient medical chatbot built using the LLaMA 2 model, Hugging Face embeddings, and Pinecone vector database. The chatbot is designed to assist users with medical inquiries, providing reliable and accurate responses.

OpenAI powered Reddit marketing tool for extracting latest Reddit comments from subreddits, sorted by "Hot", & pinpointing users who exhibit potential interest in your project or product.

Advanced CVE Retrieval and Analysis using LLMs

Chatbot built using generative-ai

SaaS based NextJS application for uploading and questioning about Pdfs with OpenAI

Searching books, saving favorite ones, and asking detailed questions about any book to discover and explore your next read.

The Medical Chatbot, built with Flask, integrates NLP libraries like Langchain and Hugging Face Transformers for text processing and embedding generation. Utilizing Pinecone as a vector database, it efficiently stores and retrieves data, offering users an interactive platform for medical inquiries.

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

A repository for setting up and initializing LLM using langcahain and HuggingFace, generating document embeddings, and connecting to Pinecone for vector database operations. Includes an example of using a Retrieval-Augmented Generation (RAG) model.

Quill - conversations with any CSV or PDF documents.

This repository is dedicated to learning LangChain by creating a generative AI application. This web application uses Pinecone as a vector store to answer questions related to LangChain, utilizing sources from the official LangChain documentation.

Embedding and visualising knowledge