# How MongoDB Atlas and Temporal support reliable production RAG and AI agents

DevFeed: [How MongoDB Atlas and Temporal support reliable production RAG and AI agents](<https://devfeed.tech/articles/durable-rag-and-agents-mongodb-and-temporal-doing-it-better-together-35920.md>)

Original publisher: [Read original article](<https://temporal.io/blog/mongodb-temporal-partnership-rag-agents>)

Author: Suresh Ramappa

Published: 2026-08-13T00:00:00Z

Content type: opinion

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [MongoDB](<https://devfeed.tech/topics/mongodb.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [reliability](<https://devfeed.tech/topics/reliability.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [api](<https://devfeed.tech/tags/api.md>), [data](<https://devfeed.tech/tags/data.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [long-running](<https://devfeed.tech/tags/long-running.md>), [mongodb](<https://devfeed.tech/tags/mongodb.md>), [outages](<https://devfeed.tech/tags/outages.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [production](<https://devfeed.tech/tags/production.md>), [rag](<https://devfeed.tech/tags/rag.md>), [recovery](<https://devfeed.tech/tags/recovery.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [retries](<https://devfeed.tech/tags/retries.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

## AI overview

The article argues that MongoDB Atlas and Temporal address different reliability needs in production RAG and AI agent systems. Atlas provides operational data, embeddings, vector search, and agent memory in one platform, while Temporal provides durable execution for crash recovery, retries, and long-running ingestion and agent workflows.

## Source excerpt

Why MongoDB Atlas and Temporal are better together for AI: one data platform, one durable execution layer, for RAG and agents in prod.