On manual run, embeds web content with OpenAI into a Qdrant vector store, extracts structured fields, and logs them to Google Sheets.
Tags
advancedtextsplitterrecursivecharactertextsplittereventai-agentssplitoutgoogle-sheetsembeddingsopenaidocumentdefaultdataloader
Connects
CategoryRAG & Knowledge Bases
Triggerevent
Complexityadvanced
Nodes30
AddedMay 9, 2026
Related workflows
See all RAG & Knowledge Bases→FluxonLab librarypro
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Embeds documents into Supabase with OpenAI, then lets a chat-triggered agent answer questions using the Supabase vector store.
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When triggered, splits and embeds documents with Google Gemini into a Qdrant vector store, then classifies and extracts structured fields.
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