mistral-neo4j-renewal-knowledge-layer-demo

Use when answering renewal-risk questions that need BOTH the document knowledge graph (graphrag: QBRs, calls, account plans, deals, competitors, concerns) AND structured business data (Neocarta + BigQuery: ARR, usage, tickets, subscriptions) — e.g. ARR at risk, competitive threats, usage decline, champion moves, renewal timing, or anything asking for a dollar figure or percentage. Do not answer from graphrag alone when the question needs a number that only lives in BigQuery.

Build the Mistral+Neo4j webinar renewal-intelligence knowledge graph from the hot QBR/account-plan/call-note/win-loss PDFs in data/pdf/, using the pre-built extraction schema in outputs/schemas/renewal_extraction_schema.py. Use when the user wants to run the Mistral webinar demo, load the demo PDFs, build the renewal-intelligence graph, or go from documents to a Q&A report for this specific dataset. Narrower and faster than develop-neo4j-graph: no data modeling or schema design, the schema already exists and is fixed.