Drop a PDF into your Google Drive folder or publish a blog post — the knowledge base updates automatically. New documents are extracted, split, embedded and ingested into Pinecone — keeping your AI agents accurate without any manual steps.
Watches a specific Google Drive folder. The moment a new PDF or document is added, ingestion starts automatically — no manual trigger.
Also monitors your blog RSS feed. New posts are fetched, HTML cleaned and text ingested into Pinecone — keeping the knowledge base current with every publish.
Uses recursive character text splitting to break documents into optimal chunks — preserving context while staying within embedding limits.
Each chunk embedded using OpenAI text-embedding-3-small — accurate semantic search across all your documents.
All embeddings stored in your Pinecone index with namespace organisation — your AI agents query this for accurate, grounded answers.
Telegram notification sent after each successful ingestion — drive file or blog post — so you always know the knowledge base is current.
Drop a PDF, Word doc or any file into the watched Google Drive folder. The workflow triggers within the hour.
File downloaded from Drive. Text extracted from PDF or document format. Ready for processing.
Recursive character splitter divides the text into semantic chunks — sized for optimal embedding accuracy.
OpenAI generates embeddings for each chunk. All vectors inserted into Pinecone with your configured namespace.
"Data stored from Drive into RAG system" — confirmation sent to Telegram. AI agents now have access to the new knowledge.
Every new product doc, pricing sheet or policy update should be in your AI knowledge base. This keeps it current automatically.
Law firms, agencies, consultancies — any business where accuracy matters. Drop a document, your AI agents know it.
The knowledge base is only as good as its last update. This makes updates automatic — Drive and blog posts, both covered.
We'll configure the RAG Auto-Updater for your Drive folder and blog — connected to your Pinecone index and AI agents.
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