7. Implement Streaming Chat Interface Create an interactive Q&A system with real-time streaming responses:
CODE
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Dynamic Knowledge Sources Integration for AI Applications
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6. Add Dynamic Knowledge Sources Create a sidebar to dynamically add PDF URLs to your knowledge base:
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Create Intelligent AI Agent Using Agno Framework
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5. Create the AI Agent using Agno Create an intelligent agent that searches your knowledge base and generates answers:
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Local Knowledge Base Setup with EmbeddingGemma Embeddings
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4. Set Up Knowledge Base with Local Embeddings Create a cached knowledge base using EmbeddingGemma for 100% local processing:
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Building AI Agents with Streamlit, Agno, and LanceDB
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2. Import necessary libraries • Streamlit for building the web app
• Agno for building AI agents
• LanceDB as the local vector store -
Install Python Libraries and Ollama AI Models
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1. Install the necessary Python Libraries Run the following command from your terminal. Then pull the required Ollama models:
• ollama pull embeddinggemma:latest
• ollama pull llama3.2:latest -
Step-by-Step Code Tutorials for AI Learning
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You can follow along this tutorials with step-by-step code instructions on @unwind_ai_
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Building Local RAG Agent with EmbeddingGemma and Ollama
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Let's build a local RAG Agent using Google's EmbeddingGemma and Ollama running locally on your machine. 100% Opensource and works without internet.
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Google Nano Banana Hackathon Project Goes Open Source
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After the Google Nano Banana Hackathon, the project will be open source.
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Building AI Products: Insights from Bio and Twitter
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Please read my bio and thousands of tweets on building AI products sir