• 

  Browser extension view to track websites

• 

  Web app to interact with SAGE-AI to generate response based on RAG context

🌿 SAGE AI: System for Automatic Gyan Extraction

A powerful voice-augmented AI assistant for developers and researchers, built for UCBerkeleyHackathon2025.
SAGE AI helps users converse and brainstorm on the content they browse online. It combines real-time web summarization, semantic memory, and natural voice interaction.

---

🚀 Inspiration

We set out to build an interactive tool that developers and researchers can use to talk with their own web browsing history—to reflect, analyze, or brainstorm using AI.
SAGE AI is powered by:

• Vapi for real-time voice interaction
  
• Gemini API for smart summarization
  
• Pinecone for semantic vector storage and retrieval
  
• Google Cloud Storage (GCS) for scalable backend data handling
  

---

✨ Features

• 🧠 Chrome Extension — Capture and summarize webpage content with one click
  
• 🔎 AI Summarization — Generate concise, meaningful summaries via Gemini API
  
• 🧭 Semantic Memory — Embed summaries into Pinecone for context-aware search
  
• 🎤 Voice Assistant — Interact with your saved context via voice, powered by Vapi
  
• 🔗 API Integration — Send summaries to external APIs or download as .txt files
  

---

🧩 Getting Started

1️⃣ Chrome Extension

1. Navigate to chrome://extensions/ and enable Developer mode
   
2. Click Load unpacked and select the dom-extension folder
   
3. Click the extension icon to extract and summarize content from any webpage
   

2️⃣ FastAPI Vector Server

1. Install dependencies:

   pip install fastapi uvicorn pinecone-client
   

2. Set API keys:

   export PINECONE_API_KEY=your_pinecone_key
   export GEMINI_API_KEY=your_gemini_key
   

3. Run the backend server:

   uvicorn main:app --reload
   

4. Available API Endpoints:

5. POST /vectorize — Store a summary as a vector

6. POST /search — Search for semantically similar summaries

3️⃣ Vapi Voice Assistant

• The Chrome extension or web app integrates with Vapi for conversational interaction
  
• See popup.js or your frontend code for integration details
  

---

🔧 Example API Usage

Vectorize a summary:

curl -X POST http://localhost:8000/vectorize   -H "Content-Type: application/json"   -d '{"text": "Your summary text here"}'

Semantic search:

curl -X POST http://localhost:8000/search   -H "Content-Type: application/json"   -d '{"query": "What are the benefits of apples?"}'

---

🎨 Customization

• Download summaries as .txt files or send to external APIs
  
• Voice Assistant toggle available directly in the extension popup
  
• Easily tweak styles in style.css to match your UI theme
  

---

🙌 Credits

• Google Gemini API
  
• Pinecone Vector DB
  
• Vapi Voice SDK
  
• UCBerkeleyHackathon2025 Team
  

---

📜 License

MIT License

Built With

• chrome
• gcp
• gemini
• html
• javascript
• openai
• pinecone
• python
• react
• vapi