TemporalCornelia Davis11 min readintermediate
Durable RAG and agents: MongoDB and Temporal doing it better together
Summary
This article describes how MongoDB Atlas and Temporal combine to build durable RAG and agent systems. MongoDB handles data, embeddings, and vector search, while Temporal ensures reliable data ingestion pipelines and resilient, long-running agent execution, preventing data loss and re-computation.
- MongoDB Atlas consolidates operational data, embeddings, vector search, and agent memory into one platform.
- Temporal provides durable execution for RAG ingestion pipelines, ensuring no data deltas are lost and handling failures automatically.
- Temporal makes multi-step AI agent reasoning loops resilient to crashes, resuming execution without re-burning tokens.
- Using Temporal for durability can eliminate the need for Kafka in ingestion pipelines, simplifying architecture.
Engineers building production-grade RAG or agentic AI systems will find this useful for understanding how to achieve reliability and simplify their data and orchestration layers.
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