AI-Powered Script Dialogue Analyzer with Chatbot Integration

Overview

This n8n workflow automates the process of analyzing script dialogue and making it queryable through an AI chatbot. It solves the problem of quickly finding specific dialogue, character lines, or thematic elements within a script. By converting script text into embeddings and storing them in a vector database (Pinecone), the workflow allows for efficient semantic search.

The core logic involves:

1. Receiving Script Data: A Webhook node triggers the workflow, accepting script content.
2. Preprocessing: The Splitter node breaks down the script into manageable chunks.
3. Embedding Generation: Embeddings nodes create vector representations of these chunks.
4. Storage & Retrieval: The Insert node adds these embeddings to a Pinecone vector store for later retrieval, while the Query node allows for semantic searches against this store.
5. AI Agent: An Agent node, powered by an OpenAI Chat model and Memory, uses the Tool (Pinecone vector store) to understand and respond to user queries about the script.
6. Logging: The Sheet node logs the interaction for auditing and monitoring.