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L4 autonomous AI coding agents are here. Genspark AI developer can plan, code, test, and ship independently while Cursor and Claude Code still require technical knowledge. Go from Prompt to Deployment in minutes.

GitHub Repo:

Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support 🌟 https://t.co/b0211AIBIh

100+ free step-by-step tutorials with code covering: 🚀 AI Agents 📀 RAG Systems 🗣️ Voice AI Agents 🌐 MCP AI Agents 🤝 Multi-agent Teams 🎮 Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials. https://t.co/HBYnwGVdX1

Open Source Zapier with 380+ MCP Servers Build AI agent workflows without writing a single line of Python Code. 100% Opensource and No-code.

Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support 🌟 https://t.co/Sce88yQpi6

100+ free step-by-step tutorials with code covering: 🚀 AI Agents 📀 RAG Systems 🗣️ Voice AI Agents 🌐 MCP AI Agents 🤝 Multi-agent Teams 🎮 Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials. https://t.co/dzS0rkRXls

GitHub Repo:

Full system prompt for Cursor, Lovable, Manus, Replit, Windsurf, VSCode Agent, Perplexity, Gemini CLI and 20+ AI Agent products. 100% Opensource.

Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support 🌟 https://t.co/Sce88yQpi6

Working Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run agentic_rag_embeddinggemma.py'

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7. Implement Streaming Chat Interface Create an interactive Q&A system with real-time streaming responses:

6. Add Dynamic Knowledge Sources Create a sidebar to dynamically add PDF URLs to your knowledge base:

5. Create the AI Agent using Agno Create an intelligent agent that searches your knowledge base and generates answers:

4. Set Up Knowledge Base with Local Embeddings Create a cached knowledge base using EmbeddingGemma for 100% local processing:

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3. Configure the Streamlit App Create a beautiful web interface with proper configuration:

2. Import necessary libraries • Streamlit for building the web app • Agno for building AI agents • LanceDB as the local vector store