Popular GitHub Repositories for Pineconedb

? An AI bot made for the command line that can read and understand any codebase from your Laravel app.

A rag application to chat with your documents with the help of gemini, pinecone and Next.js

Kryten is a CLI tool to ask questions and get sourced answers from any .pdf, .doc, .docx, and many more documents.

Implementation of Retrieval Augmented Generation model in typescript with Gemini LLM

Develop a python application that allows you to extract valuable insights, engage in meaningful conversations, and explore video content in a whole new way.

? Mindstride is a RAG-based chat assistant designed to support mental health, personal growth, and self-improvement. This project leverages advanced AI technologies to provide a personalized and insightful experience, drawing from the wisdom of over 70 books on mental well-being, personal development, and self-discovery.

Getting started with RAG system using Langchain in Node.js. This project uses OpenAI for embedding and Pinecone for Vector DB.

An accessible, reliable, and efficient platform for medical information and support using LLMs

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.

Memopin is an AI-powered memory recall tool that uses advanced technologies like RAG, NLP, and LLMs to store, analyze, and retrieve key life moments, providing an organized, context-aware platform for enhanced memory management and cognitive support.

An ai-chat-app to virtually create/train your custom imaginary friend/character and have realtime converstaion.

Meet Casia, the AI plant assistant ?

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

NitroGPT Navigator is an advanced chatbot that leverages cutting-edge technologies, including OpenAI's GPT-3.5, LangChain, and Pinecone Vector Database. It's designed to provide accurate and context-aware answers to any questions related to the content on routerprotocol.com.

Unveil Customer Insights: Sentiment Analysis Reimagined

?? This document processing system is designed to efficiently analyze user documents and provide accurate responses to user queries related to the content. Powered by advanced algorithms, it offers a seamless experience for users seeking insights or information within their documents.

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.

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.

Retrieval-Augmented Generation server with Pinecone and OpenAI

Advanced retrieval augmented generation for PDFs.