TemporalHouman Kargaran5 min readintermediate
Chaining Activities — from text to vectors
Summary
This post details how Temporal Activities orchestrate an RAG pipeline, from text embedding to vector storage, ensuring PII compliance and idempotency. It covers using an on-premise embedding model, caching vectors in Redis, and upserting to Pinecone with robust retry mechanisms.
- Temporal Activities orchestrate multi-step RAG pipelines, ensuring durability and retries for each operation.
- PII is protected by passing only `file_id` and cache keys between Activities, not raw data.
- Idempotency is achieved via `case_id` for upserts and an `embedded` flag for reconciliation in Postgres.
- On-premise embedding models are integrated using a provider pattern for easier swapping and testing.
Engineers building durable, PII-compliant RAG pipelines or complex data workflows with Temporal will find practical patterns for orchestration, data handling, and error recovery.
7/10
