Banya LabsBanya Labs/Automations/Continuous Ingestion Agent
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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

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