🤔 Agentic RAG with Gemini Flash Thinking

A RAG Agentic system built with the new Gemini 2.0 Flash Thinking model and gemini-exp-1206, Qdrant for vector storage, and Agno (phidata prev) for agent orchestration. This application features intelligent query rewriting, document processing, and web search fallback capabilities to provide comprehensive AI-powered responses.

Features

Document Processing
- PDF document upload and processing
- Web page content extraction
- Automatic text chunking and embedding
- Vector storage in Qdrant cloud
Intelligent Querying
- Query rewriting for better retrieval
- RAG-based document retrieval
- Similarity search with threshold filtering
- Automatic fallback to web search
- Source attribution for answers
Advanced Capabilities
- Exa AI web search integration
- Custom domain filtering for web search
- Context-aware response generation
- Chat history management
- Query reformulation agent
Model Specific Features
- Gemini Thinking 2.0 Flash for chat and reasoning
- Gemini Embedding model for vector embeddings
- Agno Agent framework for orchestration
- Streamlit-based interactive interface

Prerequisites

1. Google API Key

Go to Google AI Studio
Sign up or log in to your account
Create a new API key

2. Qdrant Cloud Setup

Visit Qdrant Cloud
Create an account or sign in
Create a new cluster
Get your credentials:
- Qdrant API Key: Found in API Keys section
- Qdrant URL: Your cluster URL (format: https://xxx-xxx.cloud.qdrant.io)

3. Exa AI API Key (Optional)

Visit Exa AI
Sign up for an account
Generate an API key for web search capabilities

How to Run

Clone the repository:

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd rag_tutorials/gemini_agentic_rag

Install dependencies:

pip install -r requirements.txt

Run the application:

streamlit run agentic_rag_gemini.py

Usage

Configure API keys in the sidebar:
- Enter your Google API key
- Add Qdrant credentials
- (Optional) Add Exa AI key for web search
Upload documents:
- Use the file uploader for PDFs
- Enter URLs for web content
Ask questions:
- Type your query in the chat interface
- View rewritten queries and sources
- See web search results when relevant
Manage your session:
- Clear chat history as needed
- Configure web search domains
- Monitor processed documents