LangChain Automate

Target Audience

- Business Professionals: Those who frequently attend meetings and need accurate transcriptions for documentation and follow-up.
- Developers and Data Engineers: Individuals looking to integrate AI-driven transcription services into applications or workflows.
- Project Managers: Professionals who require real-time insights and summaries from meetings to make informed decisions.
- Teams Using Remote Collaboration Tools: Organizations using platforms like Zoom or Google Meet that need automated transcription solutions.

Problem Solved

This workflow addresses the challenges of manual transcription during meetings, which can be time-consuming and prone to errors. By automating the transcription process, it ensures that key discussions and decisions are accurately captured in real-time, enhancing productivity and clarity in communications. It also allows for efficient data management and retrieval for future reference.

Workflow Steps

1. Webhook Trigger: The process begins with a webhook that receives data from a meeting platform, including the meeting URL and transcription details.
2. Create Recall Bot: A bot is created using the Recall.ai API to join the meeting and handle real-time transcription.
3. Create OpenAI Thread: An OpenAI thread is initiated to facilitate interactions and responses during the meeting.
4. Insert Transcription Part: Transcriptions are updated in a PostgreSQL database, ensuring that they are structured and easily retrievable.
5. Conditional Logic: The workflow includes conditional checks (e.g., if specific keywords like 'Jimmy' are mentioned) to trigger additional actions, such as generating notes or summaries.
6. Create Note: Notes are created based on transcriptions and stored in the database for later access.
7. Data Record Creation: A comprehensive record is created in Supabase, linking the OpenAI thread ID and Recall bot ID for organized data management.

Customization Guide

- Webhook URL: Update the webhook URL to match your meeting platform's endpoint for receiving transcription data.
- API Keys: Replace the placeholders for Recall.ai and OpenAI API keys with your own credentials to ensure proper authentication.
- Database Configuration: Modify the PostgreSQL and Supabase table structures according to your data needs, ensuring that the fields align with the expected input/output.
- Conditional Logic: Adjust the keywords in the conditional checks to suit your specific use cases or to trigger different actions based on the meeting content.
- Transcription Options: Customize the transcription options in the Recall bot setup to match your preferred settings, such as silence detection and automatic leaving criteria.