Some Ollama installs ship nomic-embed-text:v1.5 with the embedding
model's default num_ctx=2048, which the RAG chunker (sized for ~1500
tokens of estimated content with ratio=2 chars/token) can exceed on
dense PDFs. The result is `400 the input length exceeds the context
length` from /api/embed, which then hits the OpenAI-compatible
fallback (which also errors), and surfaces as a BadRequestError.
Pass options.num_ctx=8192 (nomic-embed-text v1.5's RoPE-extrapolated
max) and truncate=true (silent truncation safety net) on every
embed call so we don't depend on the local modelfile defaults.
Reported on #756 by @NC4WD; same root cause as #369 and #670 which
were closed without an actual fix.
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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