Spaces:
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title: Multi-Rag AI
emoji: 🐠
colorFrom: blue
colorTo: green
sdk: docker
app_file: Dockerfile
app_port: 7860
pinned: false
🤖 AIAgents Platform
Intelligent AI Agents Powered by LangGraph, LangChain, and FastAPI
Welcome to AIAgents, a full-stack, state-of-the-art framework for building and deploying extremely scalable, multi-agent AI ecosystems! Featuring powerful autonomous agents for complex Web Research, Blog Generation, Document RAG functionality, and interactive multi-turn chatting!
🚀 Features
- ✍️ Bloggig (Blog Agent): Powerful autonomous agent that researches, writes, and generates high-quality blog posts complete with AI-generated visuals.
- 🌐 Web Research Agent: Automatically browse, scrape, and synthesize live internet data straight from any URL (including YouTube videos!) directly within the web interface.
- 📚 Multi-turn RAG Chat: Chat with arbitrary text or PDF documents using deep LangGraph memory, powerful sentence transformers for vector retrieval, and advanced orchestration logic.
- 🎨 Stunning UI: Beautiful, fully-responsive, custom Dark Mode interface crafted natively with Jinja2 Templating, vanilla HTML/CSS/JS, and glassmorphism UI elements.
- ⚡ Supercharged Backend: High-performance asynchronous API crafted using FastAPI.
- 🛠️ Extensible AI Architecture: Built on top of the robust LangChain and LangGraph Python ecosystem to allow autonomous scaling of multi-agent workflows.
🛠️ Tech Stack
- Backend: Python 3.12+, FastAPI, Uvicorn
- AI Frameworks: LangChain, LangGraph, Sentence-Transformers, HuggingFace
- LLMs: AWS Bedrock (Claude 3.5 Sonnet, Claude 3 Haiku, Llama 3), OpenAI (GPT-4o)
- Vector Database: FAISS (Facebook AI Similarity Search)
- Frontend: Jinja2 Templates, Vanilla JS, CSS3, DOM manipulation
- Development Tooling:
uv(Fast Python Package Manager)
⚙️ Quickstart
Prerequisites
- Ensure you have Python >= 3.12 installed on your system.
- Make sure you are using uv to manage project dependencies!
1. Installation
- Clone the repository:
git clone https://github.com/VashuTheGreat/AiAgents.git
cd AiAgents
- Set up the virtual environment & install dependencies using
uv:
uv sync
2. Environment Variables
Create a .env file in the root of the project and place your necessary API keys inside.
# General
APP_API_KEY="your_custom_auth_key"
# AWS Bedrock (For Blog Agent)
AWS_ACCESS_KEY_ID="your_key"
AWS_SECRET_ACCESS_KEY="your_secret"
AWS_REGION_NAME="us-east-1"
# OpenAI
OPENAI_API_KEY="sk-..."
3. Run the Server
Simply launch the FastAPI application:
uv run .\main.py
This will start the development server. Navigate to http://127.0.0.1:8000/ to see the AIAgents Hub!
🎨 Walkthrough of the Application
🏠 Home Page (/)
An elegant gateway into the available AI agent interfaces.
✍️ Blog Agent (/blog)
The flagship feature. Enter a topic, and Bloggig will autonomously research the subject, plan its structure, write the content in Markdown, and generate relevant images. It features a real-time "pipeline console" to track the agent's progress.
🌐 Web Summarizer (/web)
Paste any URL or YouTube Link to extract and summarize content using our custom LangGraph architecture.
💬 Chat MultiGraph (/chat)
Engage with your locally uploaded documents via RAG (Retrieval-Augmented Generation) with intelligent memory buffers.
📂 Project Structure
AiAgents/
├─ api/
│ ├─ Blog/ # Bloggig-specific routers and models
│ ├─ MultiRag/ # Document RAG routers
│ └─ Web/ # Web Summarizer routers
├─ src/
│ ├─ Blog/ # Bloggig Agent logic (Graph, Nodes, Prompts)
│ ├─ MultiRag/ # RAG Agent logic (Retrievers, Vectorstores, etc.)
│ └─ Web/ # Web Agent logic (Loaders, Graph)
├─ images/ # Generated blog visualizations
├─ results/ # Saved blog markdown outputs
├─ static/ # CSS, JS, and local frontend assets
├─ templates/ # Jinja2 HTML templates
├─ data/ # Raw document storage for RAG
├─ db/ # Local FAISS vector database storage
└─ pyproject.toml # Project dependencies (uv)
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