This Langflow flow processes documents by splitting them into chunks and classifying each chunk using an AI agent.

The flow begins by reading a file and splitting its content into manageable text chunks. A Split Text component breaks down the document using configurable parameters like chunk size and overlap. These chunks are then processed through a Loop component that handles each piece individually, converting the data format as needed with a Type Converter component.

Each text chunk gets classified by an AI agent that follows specific instructions provided through a Prompt component. The agent uses OpenAI's language model to categorize each chunk into predefined fields: text, category, and explanation. A Structured Output component ensures the AI's response follows a consistent JSON format with proper data validation.

The classified results from all chunks are collected and displayed through a Chat Output component once the loop completes processing. This creates a systematic workflow for document analysis where large texts are broken down, individually classified, and then aggregated into structured results. The flow is particularly useful for content categorization, document analysis, or any task requiring systematic classification of text segments.

For more advanced implementations, you can extend this basic classification workflow by adding embedding models to generate vector representations of each chunk, then store both the classified metadata and embeddings in vector databases like Chroma or Pinecone. This enables similarity search and retrieval capabilities on top of the classification system.

The workflow can be extended significantly using other Langflow components. You can swap in different text splitters from the LangChain bundle to handle various document types, add conditional logic with If-Else components to route chunks based on classification results, or integrate custom Python components for domain-specific processing rules. The Playground feature also allows you to test and refine your classification criteria interactively before deploying the flow to production systems.