Ronivaldo Sampaio's repositories
LangChain-Indexing-API
PostgreSQL com PGVector e uma API Fastapi para acessar os dados
AICodeInterpreter
code interpreter python with streamlit
anything-llm
A full-stack application that turns any documents into an intelligent chatbot with a sleek UI and easier way to manage your workspaces.
ask-my-pdf
Question answering system for PDF files
Automated-Customer-Service
This project contains an AI-powered email processor system, designed to automatically fetch, process and respond to customer emails.
captacity
Add Automatic Captions to YouTube Shorts with AI
export-html
Docker container to Export HTML to PDF/PNG (using Google Chrome)
Flowise
Drag & drop UI to build your customized LLM flow
FlowiseDocs
Docs for Flowise
GirlfriendGPT
Girlfriend GPT is a Python project to build your own AI girlfriend using ChatGPT4.0
gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
notion-qa
qa with markdown data langchain and faiss
openai-devday
Example Code for OpenAI DevDay Updates
openai-realtime-api-voice-assistant
This project implements an AI-powered inbound call agent for Bart's Automotive, a fictional automotive business. It uses OpenAI's new realtime API and integrates with Twilio to handle incoming phone calls.
openai-realtime-api-voice-assistant-V2
OpenAI Realtime API Voice Agent with RAG, Function Calling, and Caller History
pdf-text-data-extractor
PDF text data extraction web app with OCR for scanned documents
pdfGPT
PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The only open source solution to turn your pdf files in a chatbot!
react-json-view
JSON viewer for react
ultimate-fastapi-tutorial
The Ultimate FastAPI Tutorial
vault-ai
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, etc) using a simple React frontend.
volume-backup
docker volume backup & restore utility
WhatsApp-Assistants-
Création d’un bot WhatsApp en utilisant l’API Meta Cloud avec Python pur, et Flask en particulier. Nous allons également intégrer des événements webhook pour recevoir des messages en temps réel et utiliser OpenAI pour générer des réponses IA. Pour plus d’informations sur la structure de l’application Flask