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Library / RAG & Knowledge Bases

RAG & Knowledge Bases

Load Google Drive Docs into Pinecone with Context-Aware Chunking

When you run it, it downloads Drive documents, uses Gemini or OpenRouter to add context to each chunk and stores embeddings in Pinecone.

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What it does

## Prepare context In this section, the agent node will prepare context for a section (chunk of text), which will then be passed for conversion into a vectors along with the section itself.

The steps

  1. When clicking ‘Test workflow’
  2. Loop Over Items
  3. OpenRouter Chat Model
  4. Pinecone Vector Store
  5. Embeddings Google Gemini
  6. Default Data Loader
  7. Recursive Character Text Splitter
  8. Get Document From Google Drive
  9. Extract Text Data From Google Document
  10. Split Document Text Into Sections
  11. Prepare Sections For Looping
  12. AI Agent - Prepare Context
  13. Concatenate the context and section text

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