# Retrieval-Augmented Generation (RAG)

**URL:** <https://forum.devtalk.com/t/retrieval-augmented-generation-rag/247776>\
**Category:** AI In The News\
**Tags:** via-news-bot, rag, in-the-news\
**Created:** [7 July 2026 16:58 UTC](https://forum.devtalk.com/t/retrieval-augmented-generation-rag/247776 "2026-07-07T16:58:33Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![CommunityNews](https://forum.devtalk.com/user_avatar/forum.devtalk.com/communitynews/32/1113_2.png) [@CommunityNews](https://forum.devtalk.com/u/CommunityNews)\
**Post date:** [7 July 2026 16:58 UTC](https://forum.devtalk.com/t/retrieval-augmented-generation-rag/247776/1 "2026-07-07T16:58:33Z")

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> Explore the limitations of foundation models and how retrieval-augmented generation (RAG) can address these limitations so chat, search, and agentic workflows can all benefit.

Read in full here:

> **[Retrieval-Augmented Generation (RAG) | Pinecone](https://www.pinecone.io/learn/retrieval-augmented-generation/)**
>
> Explore the limitations of foundation models and how retrieval-augmented generation (RAG) can address these limitations so chat, search, and agentic workflows can all benefit.
