- Fixed Unicode crash in chunker (ligatures like fi causing byte boundary panic) - Chunker now works with char indices, not byte indices - 8 PDFs ingested: hybrid_ai_data_lake (133p), spark_vs_flink_iceberg (124p), code_sorting (70p), hybrid_indexing (69p), rust_in_tech_stack (49p), etc. - 477 chunks embedded via supervisor (43/sec) - HNSW index built in 0.44s - Search results <200ms, finding correct conversations by meaning - Tested: "S3 architecture", "CRM WordPress", "Rust vs Python" — all correct Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
72 lines
1.7 KiB
JSON
72 lines
1.7 KiB
JSON
{
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"id": "5d4bbdb1-fb53-4cea-86d5-309fe067111c",
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"name": "legacy_staffing_crm_search",
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"objects": [
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"created_at": "2026-03-28T03:34:14.444384147Z"
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}
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"created_at": "2026-03-28T03:34:14.444384964Z",
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"updated_at": "2026-03-28T03:34:14.444631183Z",
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"source_file": "Legacy Staffing CRM Search.pdf",
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