Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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Updated
Oct 11, 2025 - Python
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
RESTai is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex & Langchain. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama/vLLM/etc. Precise embeddings usage and tuning. Built-in image generation (Dall-E, SD, Flux) and dynamic loading generators.
Easy Implementation of Assistants API with Code Interpreter and File Retrieval
Enable Web Search capabilities for OpenAI GPT model using function calling
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DaVinci - The AI Artist ... He now talks using ChatGPT and generates images with DALL-E 3 that he displays on an e-ink art frame
This repository contains a sample solution for Chatbot-Development Using RAG.
Various OpenAI projects and experiments implemented in Python. Utilizes all OpenAI APIs to test different models, fine-tuning approaches, and implementation patterns for production applications with comprehensive functionality tests.
Simple implementation of the OpenAI Parallel Requester
📝 Turn audio into text effortlessly. Audio transcription powered by OpenAI's Whisper API.
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Learn how to create a Python Streamlit application that interfaces with OpenAI's GPT-4.1 model series API, allowing you to test and compare different model variants with a user-friendly interface.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
It's a Ai enabled pdf quarrying app which can read any pdf and then you can ask anything about that pdf, and ai generated answers will be provided based on that specific pdf.
A comparative analysis of encoder only and decoder only models in intent classication
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