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Deep Search: updates for 6.5#1191

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MaedahBatool merged 10 commits into
sg-next-jun25from
jan/deep-search-6.5-updates
Jun 24, 2025
Merged

Deep Search: updates for 6.5#1191
MaedahBatool merged 10 commits into
sg-next-jun25from
jan/deep-search-6.5-updates

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@janhartman
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@janhartman janhartman commented Jun 20, 2025

  • Improved intro section with more detailed explanations
  • Conversation sharing
  • Expanded enabling section

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vercel Bot commented Jun 20, 2025

The latest updates on your projects. Learn more about Vercel for Git ↗︎

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sourcegraph-docs ✅ Ready (Inspect) Visit Preview 💬 Add feedback Jun 24, 2025 6:01pm

Comment thread docs/code-search/types/deep-search.mdx Outdated
Comment thread docs/code-search/types/deep-search.mdx
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Left 2 comments, thanks!

Comment thread docs/code-search/types/deep-search.mdx Outdated
@mmanela
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mmanela commented Jun 24, 2025

@MaedahBatool I saw you had a PR but looks like it overlaps on this one. Lets get this one in first and then we can work on the follow up

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Comment thread docs/code-search/types/deep-search.mdx
@MaedahBatool
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@MaedahBatool I saw you had a PR but looks like it overlaps on this one. Lets get this one in first and then we can work on the follow up

Yeah I saw your comment. Let's knock out this one first. :)

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@janhartman, thanks for putting this up. I committed a few changes to avoid back-and-forth. I feel it's good from my side. Merging it with the working branch for 6.5.

@MaedahBatool MaedahBatool changed the base branch from main to sg-next-jun25 June 24, 2025 18:16
@MaedahBatool MaedahBatool merged commit 0ad1e16 into sg-next-jun25 Jun 24, 2025
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@MaedahBatool MaedahBatool deleted the jan/deep-search-6.5-updates branch June 24, 2025 18:17
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Thanks for jumping in @MaedahBatool ! Few comments which we should address in a followup.

Comment thread docs/code-search/types/deep-search.mdx Outdated
- Check the list of sources. This is extremely useful for debugging and understanding where the answer came from. Ask a follow-up question and mention the missing source if something is missing.

For use cases where you're looking for exhaustive answers (e.g. "Find all files with the `.XYZ` file extension in `foo` repo that contain the word `bar`), Code Search still excels, while Deep Search will only utilize a sample of the results. Deep Search will perform a Code Search query as a source, which you can then use to continue with an exhaustive search within the Code Search product.
For use cases where you're looking for exhaustive answers (for example, "Find all files with the `.XYZ` file extension in `foo' repo that contain the word `bar`), Code Search still excels, while Deep Search will only utilize a sample of the results. Deep Search will perform a Code Search query as a source, which you can use to continue an exhaustive search within the Code Search product.
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@MaedahBatool Please keep the continue with an exhaustive search part - unfortunately your edit changes the meaning a bit which isn't what we want.

Deep Search is an agentic code search tool that understands natural language questions about your codebase. When a question is submitted, Deep Search performs an in-depth search and returns a detailed answer. The conversation can be continued with follow-up questions to dive deeper into relevant code.

Under the hood, Deep Search is an AI agent that uses various tools to generate its answer. The tools are functionalities available in Sourcegraph. They include multiple modes of Sourcegraph's Code Search and Code Navigation features. All processing happens within your Sourcegraph instance and the only external calls are to the configured LLM.
Under the hood, Deep Search is an AI agent that uses various tools to generate its answer. The tools are functionalities available in Sourcegraph. They include multiple modes of Sourcegraph's Code Search and Code Navigation features. All processing happens within your Sourcegraph instance. Only external calls are made to the configured LLM.
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@MaedahBatool Could you please change the last sentence to The only external calls Deep Search makes are to the configured LLM - unfortunately your edit changed the meaning.

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4 participants