AI Content & Summarization Workflows
AI workflows for extracting, summarizing, and transforming information from multiple content sources.
- Year
- 2026
- Role
- LLM Workflow Design & RAG Application Development
- Stack
OpenAI APIs
LangChain
RAG
Prompt Engineering
Overview
A collection of AI-powered workflows focused on transforming large or unstructured content into concise, useful information.
The workflows explore document processing, semantic retrieval, summarization, content generation, and validation using LLM-based pipelines.
Features
- Website summarization
- Video summarization
- PDF summarization
- Image and CSV processing
- YouTube content summarization
- AI-powered content writing
- Content validation workflows
Challenges
Information is increasingly distributed across different content formats. Extracting useful context from each format while keeping the output concise and relevant is the core challenge.
Solutions
RAG pipelines and LLM workflows were used to process content, retrieve relevant context, and generate structured summaries or transformed outputs depending on the use case.