YT RAG Agent Backend Transcript-Format-Pinecone Upsert
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Automate the ingestion and semantic storage of YouTube transcript data. This workflow extracts YouTube transcripts, processes them, and upserts them into a Pinecone vector database for efficient retrieval.
About This Workflow
This n8n workflow, named 'YT RAG Agent Backend Transcript-Format-PineconeUpsert', is designed to streamline the process of making YouTube video content searchable through a Retrieval-Augmented Generation (RAG) approach. It begins by fetching data from Airtable, then utilizes external API calls to Apify NinjaPost and a custom JSON timestamp retrieval to gather relevant YouTube transcript information. The data is then formatted and processed through a 'Transcript Processor' node before being transformed into embeddings using OpenAI and finally stored in a Pinecone vector database. This enables powerful semantic search capabilities over your YouTube video content, making it readily available for AI-powered applications.
Key Features
- Automated YouTube Transcript Extraction: Seamlessly fetches and processes transcripts from YouTube videos.
- Data Orchestration with Airtable: Leverages Airtable for managing and initiating the data flow.
- AI-Powered Semantic Search: Integrates with OpenAI for embeddings and Pinecone for vector storage, enabling advanced search.
- Flexible Data Processing: Includes nodes for waiting, HTTP requests, JSON manipulation, and custom transcript processing.
- Scalable Vector Database Integration: Optimized for efficient upsert operations into Pinecone.
How To Use
- Configure Airtable Nodes: Set up your Airtable credentials and specify the tables for input and output data.
- Set up API Integrations: Configure the 'Apify NinjaPost' node with your API key and endpoint. Ensure the 'Get JSON TS' node is correctly pointed to your timestamp API.
- Embeddings and Vector Store: Configure the 'Embeddings OpenAI' node with your OpenAI API key and the 'Pinecone Vector Store' node with your Pinecone API key and environment.
- Transcript Processing: Review and adjust the 'Transcript Processor' node to match your specific transcript formatting and cleaning requirements.
- Trigger and Execution: Connect the 'When clicking ‘Test workflow’' node to initiate the process. Ensure the workflow is activated within n8n to run automatically or on schedule.
Apps Used
Workflow JSON
{
"id": "b345fb01-c04f-4401-919d-60e05c29101c",
"name": "YT RAG Agent Backend Transcript-Format-Pinecone Upsert",
"nodes": 6,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: b345fb01-c04f...
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