tenant-ingestion

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name: tenant-ingestion description: Use this skill when ingesting business data into a tenant's Pi memory. Trigger when: a client provides documents, FAQs, website URLs, phone transcripts, business hours, service offers, prices, or policies that need to be normalized and stored in tenant memory.

Tenant Ingestion

Role

Tenant ingestion transforms raw business data into structured tenant memory that Pi uses to answer questions, route leads, and execute skills on behalf of the business.

Supported Content Types

Type	Description	Example
document	PDF, DOCX, TXT	Service menu, employee handbook
url	Website page	About page, service list
faq	Question-answer pairs	"Do you offer emergency service?"
transcript	Phone or chat transcript	Sales call recording (text)
hours	Business hours	Mon-Fri 8am-6pm, Sat 9am-2pm
offer	Current promotions	10% off first HVAC service
policy	Terms, refund, privacy	No refund within 24h of appointment

Ingestion Pipeline

1. Receive content via POST /v1/tenants/{tenant_id}/ingest or factoryctl tenant ingest
2. Detect content type and normalize to structured JSON
3. Split into chunks (max 512 tokens per chunk)
4. Embed each chunk using the configured embedding model
5. Store in tenant namespace: tenant:{slug}:docs:{chunk_id}
6. Update tenant:{slug}:meta:index with document list and last-ingested timestamp
7. Return job_id and status: queued

Rules

• Never mix tenant memory. All writes are prefixed with tenant namespace.
• Duplicate detection: if the same URL or document hash has been ingested, skip and log.
• PII handling: phone numbers, emails, and names in transcripts are flagged. Do not embed raw PII without operator acknowledgment.
• Ingestion does not require human approval, but destructive re-ingestion (full wipe + re-index) does.