nogueiraguh 587a809156 feat: auto-detect embedding dimensions per table in consult endpoint ...

- Detect VECTOR_DIMENSION_COUNT per table before querying
- Map dimensions to correct embedding model (1536→small, 3072→large)
- Cache query embeddings by dimension to avoid redundant API calls
- All tables now searchable regardless of which model generated them

2026-03-11 03:12:57 -03:00

..

app.py

feat: auto-detect embedding dimensions per table in consult endpoint

2026-03-11 03:12:57 -03:00

cis_reports.py

feat: granular CIS MCP server, chat memory compaction, and UX improvements

2026-03-05 08:26:43 -03:00

Dockerfile

feat: Terraform resource reference from provider schema, provider alias fixes, and timestamps

2026-03-08 01:00:47 -03:00

gen_tf_reference.py

feat: Terraform resource reference from provider schema, provider alias fixes, and timestamps

2026-03-08 01:00:47 -03:00

mcp_cis_server.py

feat: resource type validation, 100K max tokens, and auto-split improvements

2026-03-09 01:10:33 -03:00

requirements.txt

feat: knowledge base with URL import, ADB case-sensitivity fix, and RAG enhancements

2026-03-11 02:02:31 -03:00