Agentic data intelligence — ingest structured or unstructured records, synthesize insights, and answer questions with citations, evaluation, and cost observability.
Teams pay for data access but still spend hours manually reading records to find patterns. This turns raw records into synthesized, queryable intelligence.
Import/competitor intelligence: ingest import records → summarize who is importing what, surface trends, answer natural-language questions.
- Phase 1: Core agent loop (tool selection + memory)
- Phase 2: Retrieval (chunking, embeddings, vector store)
- Phase 3: FastAPI service (ingest + query endpoints)
- Phase 4: Evaluation + observability (LLM-as-judge, cost logging)
- Phase 5: Docker + cloud deploy (live URL)
- Phase 6: Write-up (design decisions + tradeoffs)
Python · FastAPI · [vector store TBD] · Docker · [cloud TBD]