Visualising the memetic nature of knowledge with embeddings
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Updated
Jun 1, 2024 - TypeScript
Visualising the memetic nature of knowledge with embeddings
UVA Chatbot - An AI assistant to help students with competitive programming problems from the UVA OJ
🚀 Hermes harnesses the power of GPT technology to create interactive conversations with your PDF documents. This innovative open-source tool transforms your PDFs into dynamic chatbots!
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.
This is an experiment in learning langchain, pinecone and stuff, don't mind
🌟 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.
🔎📚 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.
LangChain 플랫폼을 통한 LLM, 기억저장소, 프롬프트 엔지니어링 구현 패키지
.NET clients for Pinecone Vector database
pinecone.io Library in Elixir
This is Document Querying Chatbot which can chat with documents on given prompts
🤖 An AI bot made for the command line that can read and understand any codebase from your Laravel app.
AI-Companion is a cool software that lets you create your own custom AI models of people you admire, like actors or celebrities. It's a tool to make personalized artificial intelligence companions based on your favorite individuals.
Asher is a cutting-edge platform designed for seamless collaboration and communication around PDF documents. Our SaaS website is meticulously crafted from scratch, ensuring robust performance, security, and user experience.
EmoCare ( "Emotion" + "Care" ) is a project about attending the patients appointment and give a solution how their emotional behavior is and gives the conclusion using Facial Recognition.
Chatbot built using generative-ai
This repository implements the backend services for a powerful sentiment analysis application. It leverages vector database to extract deeper insights from user reviews. Frontend: user-review-classification.vercel.app
Created a custom chatbot that will reply to your question based on the data stored in it's memory.Technology used are prisma ORM, mongoDB, pineconeDB to store vectors, openAI Text-embedding-ada-002-v2 to embed the text. I have followed a youtube tutorial to learn this.
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.
A package to vectorize pdf files and interact with Pinecone DB
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