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  <title>Grape blog</title>
  <link>https://grape-industries.vercel.app/blog</link>
  <description>Notes on search, retrieval and RAG from the team building Grape.</description>
  <item><title>Add Grape to your vector RAG in five minutes</title><link>https://grape-industries.vercel.app/blog/add-grape-to-your-vector-rag</link><guid>https://grape-industries.vercel.app/blog/add-grape-to-your-vector-rag</guid><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><description>Keep your vector store and add Grape next to it. You get questions in any language and instantly fresh documents, with one extra HTTP call and no new embedding model.</description></item>
  <item><title>Ask your documents from Claude and ChatGPT with MCP</title><link>https://grape-industries.vercel.app/blog/ask-your-documents-from-claude-and-chatgpt</link><guid>https://grape-industries.vercel.app/blog/ask-your-documents-from-claude-and-chatgpt</guid><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><description>Connect a GitHub repository to Claude Code, Claude or ChatGPT in two minutes. Grape finds the file and line, so the AI reads only what it needs.</description></item>
  <item><title>Grape vs Vector RAG, measured</title><link>https://grape-industries.vercel.app/blog/grape-vs-vector-rag</link><guid>https://grape-industries.vercel.app/blog/grape-vs-vector-rag</guid><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><description>Same documents, same questions, same LLM, three runs each. In English Grape is more accurate and cheaper than Vector RAG, it reaches across languages, and it is ready after an edit in a tenth of a second.</description></item>
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