)]}'
{
  "commit": "0ca3caa02857ed3d40963d3f911c48c4c2815e3c",
  "tree": "c6706a6b0d41cdaac4854fc2db5d1421ae6babe9",
  "parents": [
    "9175adf713dbdc79186cb3531996bc6ba3ca355f"
  ],
  "author": {
    "name": "Ethan Lee",
    "email": "ethanalee@google.com",
    "time": "Fri Jul 17 18:58:45 2026 +0000"
  },
  "committer": {
    "name": "Gopher Robot",
    "email": "gobot@golang.org",
    "time": "Thu Aug 06 08:47:12 2026 -0700"
  },
  "message": "internal, cmd: integrate vector search into frontend\n\n- Insert embedding client into fetchSearchPage so that each user query\n  will have an embedding generated. This embedding will be utilized to\n  search the DB for corresponding results.\n- This feature is guarded by the EnableVectorSearch flag.\n\nChange-Id: I548ee12daad9f7916b6937a63699ae2bddd32024\nReviewed-on: https://go-review.googlesource.com/c/pkgsite/+/802280\nkokoro-CI: kokoro \u003cnoreply+kokoro@google.com\u003e\nAuto-Submit: Ethan Lee \u003cethanalee@google.com\u003e\nLUCI-TryBot-Result: golang-scoped@luci-project-accounts.iam.gserviceaccount.com \u003cgolang-scoped@luci-project-accounts.iam.gserviceaccount.com\u003e\nReviewed-by: Jonathan Amsterdam \u003cjba@google.com\u003e\n",
  "tree_diff": [
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