Data Pipeline
Production
Continuous Ingestion Agent
Role: Document Chunking & Vector Embedding Worker (OPS-09)
Protocol & Health Status
pgvector Synced
Operational Overview
Monitors tenant storage buckets and background folders to auto-chunk, tokenize, and embed tenant documentation into pgvector with strict organizationId namespaces.
Autonomous background worker that continuously indexes tenant documents, PDFs, manuals, and policies into PostgreSQL + pgvector with tenant isolation.
PIPELINE CONSOLE
Live Execution Steps
>Watch tenant file storage & S3 buckets for new uploads
>Extract text from PDFs, DOCX, CSVs, and scanned images (OCR)
>Apply semantic chunking with metadata header preservation
>Generate OpenAI/voyage embeddings and store in pgvector
Key Integration Benefits
- Automated real-time knowledge base updates for companion agents
- Strict tenant-isolated vector retrieval with zero cross-leakage
- High-accuracy semantic search across domain documents
Request Bot Integration
Configure integration parameters