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title: MongoDB Takes Over Embeddings — You Write Nothing
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# MongoDB Takes Over Embeddings — You Write Nothing

**[Jack Herrington](https://daily.dev/sources/jherr)** · 8 min read · 0 upvotes · 0 comments

## Summary

MongoDB's auto-embedding feature simplifies vector search by automatically generating and storing embeddings via Voyage AI, eliminating the need to manually manage a separate vector database and embedding pipeline. A demo app built with TanStack Start shows the difference between keyword search and vector search on documentation content. The auto-embed index type is configured once on a content field, and MongoDB handles all embedding requests to Voyage AI on ingest. Vector search queries are simpler to implement than regex-based keyword search and are increasingly important for LLM-powered features like RAG and agentic memory.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=OI5ue0OrHw0>

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---

Tags: [#mongodb](https://daily.dev/tags/mongodb), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#embeddings](https://daily.dev/tags/embeddings)

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