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Free n8n bundle
A self-populating knowledge base with AI research generation and semantic search.
Three workflows build a knowledge base that grows on its own: AI generates research documents, a chunker vectorizes them for retrieval, and a PubMed ingester imports peer-reviewed papers — all searchable with pgvector.
Roughly 20 minutes end-to-end if you have n8n and Supabase already running.
Visit /forge, enter your email, and select the Research RAG Builder bundle. You'll get a download link for a ZIP containing the workflow JSON, SQL schema, and setup docs.
In n8n, use Workflows → Import from File and select each .json file in the bundle. Workflows import in a deactivated state — review the nodes before activating.
Run the included migration files against your Supabase project (or any Postgres). The schema creates the tables, RPCs, and RLS policies the workflows depend on.
Add your Anthropic / OpenAI, Supabase, and any third-party API credentials to n8n. The README lists each credential name and the scope it needs.
Run a test execution end-to-end. Confirm the output matches expectations, then activate the workflow. The bundle ships with logging so you can monitor first runs.
The bundle is the starting point. A real implementation wires it into your business systems with error handling, monitoring, and a training handoff. That is the engagement we'll quote in a discovery call.
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