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Showing results for Questions Vector
GitHub Repo https://github.com/sharonmordechai/ai-assistant-with-vector-store

sharonmordechai/ai-assistant-with-vector-store

The AI Assistant uses OpenAI's GPT models and Langchain for agent management and memory handling. With a Streamlit interface, it offers interactive responses and supports efficient document search with FAISS. Users can upload and search pdf, docx, and txt files, making it a versatile tool for answering questions and retrieving content.
GitHub Repo https://github.com/BBC-Esq/VectorDB-Plugin

BBC-Esq/VectorDB-Plugin

Program that lets you ask questions about your documents, audio, and video files.
GitHub Repo https://github.com/RihanArfan/chat-with-pdf

RihanArfan/chat-with-pdf

Chat with PDF lets you ask questions to PDF documents. Built and deployed with NuxtHub, and powered by Cloudflare Workers AI and Vectorize.
GitHub Repo https://github.com/redis-developer/video-qa-semantic-vector-caching

redis-developer/video-qa-semantic-vector-caching

This repository is a Video Q&A site that uses LangChain, OpenAI, Google Gemini, and Redis to answer questions using videos for RAG.
GitHub Repo https://github.com/mejaz/paperbot

mejaz/paperbot

Upload a PDF and just start asking questions from the PDF. It uses OpenAI's embedding model, chat completion model and pinecone vector database
GitHub Repo https://github.com/ForJadeForest/LIVE-Learnable-In-Context-Vector

ForJadeForest/LIVE-Learnable-In-Context-Vector

【NeurIPS 2024】The implementation of LIVE: Learnable In-Context Vector for Visual Question Answering https://arxiv.org/abs/2406.13185
GitHub Repo https://github.com/SatyamSoni23/Smart-Question-Answering-System-on-Document

SatyamSoni23/Smart-Question-Answering-System-on-Document

It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.
GitHub Repo https://github.com/idio/wiki2vec

idio/wiki2vec

Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps. Questions? https://gitter.im/idio-opensource/Lobby
GitHub Repo https://github.com/peterw/JarvisBase

peterw/JarvisBase

Question-answering chatbot using OpenAI's GPT-3.5-turbo model, DeepLake for the vector database, and the Whisper API for voice transcription. The chatbot also uses Eleven Labs to generate audio responses.
GitHub Repo https://github.com/ruoccofabrizio/azure-open-ai-embeddings-qna

ruoccofabrizio/azure-open-ai-embeddings-qna

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.