* docs: add cursor rule for embedding generation process
Add documentation for cursor IDE about how docs embeddings are generated,
including the workflow for creating and uploading semantic search content.
* feat: improve API reference metadata upload with descriptive content
- Add preembeddings script to run codegen before embedding generation
- Enhance OpenApiReferenceSource to generate more descriptive content including
parameters, responses, path information, and better structured documentation
* feat: add Management API references to searchDocs GraphQL query
- Add ManagementApiReference GraphQL type and model for API endpoint search results
- Integrate Management API references into global search results
- Update test snapshots and add comprehensive test coverage for Management API search
* style: format
strictNullChecks was off for docs, which lets errors slip through and
leads to incorrect required/optional typing on Zod-inferred types. This
PR enables strictNullChecks and fixes all the existing violations.
Scripts currently use CJS, which is causing a bit of a mess when trying
to use shared utilities from the app. Converting everything to ESM so
there are fewer conflicts when adding new scripts going forward.
* feat(content api): add client library api reference search results
Allow searchDocs results to also return function references from the
client library APIs
* fix(content api): refine language enum handling
* feat: llms.txt
* feat: split llms.txt into multiple files
We have too many docs, so the concatenated text file uses an unreasonable amount of tokens. Chunk it up a little so it's more usable.
Improve the way docs are indexed and FTS results are ranked, so results are more relevant.
Also improve debouncing and searching UX so it feels a bit faster and you can scan the results more easily.
