Sticky Note Automate

Target Audience

• Developers looking to automate workflows involving document processing.
• Data Scientists needing to integrate AI models for document retrieval and Q&A.
• Business Analysts who want to analyze PDF documents and extract insights efficiently.
• Teams working with collaborative tools like Google Drive and requiring automated responses to queries.

Problem Solved

This workflow addresses the challenge of efficiently processing PDF documents stored in Google Drive, indexing their content for easy retrieval, and providing a seamless Q&A experience through automated responses. It eliminates manual data extraction and allows users to interact with documents in a conversational manner, significantly enhancing productivity and access to information.

Workflow Steps

1. Trigger: The workflow is initiated via a webhook that listens for incoming messages, allowing for real-time interaction.
2. Google Drive Integration: The specified PDF file is downloaded from Google Drive.
3. Document Processing: The PDF is split into manageable chunks using a recursive character text splitter, ensuring that the content is ready for indexing.
4. Data Ingestion: The chunks are loaded into a Qdrant vector store, which facilitates efficient retrieval based on vector embeddings.
5. Q&A Chain Setup: When a chat message is received, the workflow retrieves relevant chunks from the vector store to generate answers.
6. Response Generation: The OpenAI chat model processes the retrieved information and formulates a response, which is sent back through the webhook to the user.