feat: integrate Google semantic search and branded desktop launcher

fixtures/relevance/README.md

@@ -0,0 +1,14 @@
+# Retrieval regression corpus
+
+This synthetic seed corpus contains 20 documents and 24 predetermined queries:
+exact filenames, error/invoice identifiers, remembered concepts and English/German
+cross-language retrieval. Each query labels one expected file. Supplier-contract
+termination and meeting cancellation deliberately share words but differ in intent.
+
+Report top-1 accuracy, recall@10, per-query rank and latency. Keep failures in
+reports; do not rewrite expected answers or remove difficult queries to make a
+model pass. Evaluate lexical, semantic and hybrid modes on the same corpus.
+
+This corpus is a regression fixture, not a representative user dataset. Production
+quality needs a larger independently labelled corpus, varied document lengths,
+PDF/OCR/media cases, ambiguous/no-answer queries and measured filter correctness.