Automated RSS Headlines Processing to Slack and Log

This workflow automates the collection, processing, and distribution of RSS feed headlines, integrating various services for a comprehensive information pipeline. Starting with a webhook trigger, it receives RSS data, splits it into manageable chunks using a text splitter, and creates embeddings to enable semantic search with Pinecone. The embeddings are stored and queried in Pinecone to retrieve relevant content, which is then processed through an OpenAI chat model for contextual understanding via a RAG (Retrieval-Augmented Generation) agent. The processed information is logged into Google Sheets for record-keeping, and in case of errors, alerts are sent via Slack. This workflow is ideal for automating content curation, summarization, and alerting based on RSS feeds, making it valuable for news monitoring, research, or content aggregation.