This repository offers code examples for various Large Language Model (LLM) applications built using Ollama, targeting YouTube viewers interested in practical LLM implementations. The projects demonstrate capabilities like PDF interaction, multimodal RAG, voice integration, AI-powered scraping and research, video summarization, and image analysis.

How It Works

The projects leverage Ollama's open-source models to power diverse LLM functionalities. The core approach involves integrating these models with specific data sources and processing pipelines to achieve tasks such as Retrieval Augmented Generation (RAG) for PDF querying, multimodal RAG for image-text understanding, and voice-based interactions.

Highlighted Details

• Chat with PDF using Hybrid RAG
• Chat with PDF using Multimodal RAG
• Voice RAG
• AI Scraper, AI Researcher, Video Summarization, Image Search, OCR, Object Detection, Emotion Detection

Maintenance & Community

This project is maintained by NarimanN2, creator of a YouTube channel focused on LLM projects. Further content and updates are available via the associated YouTube channel.

Licensing & Compatibility

The repository's license is not specified in the provided README.

Limitations & Caveats

The README does not specify project requirements, installation instructions, or licensing details, requiring users to infer setup from video content.