Add versioned docs for v2.1 (#1903) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Add versioned docs for v2.1 (#1903) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

docs(embeddings/openai): credential params require the openai_ prefix; embeddings have no max_concurrency knob The OpenAI embedding provider reads its credential params only under their openai_-prefixed names since v2.1.0, never reads max_concurrency, and retries a wider set of statuses than documented.

Add versioned docs for v2.1 (#1903) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Add versioned docs for v2.1 (#1903) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Add versioned docs for v2.1 (#1903) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

docs(embeddings): replace deprecated Google text-embedding-004 with gemini-embedding-2 Google shut down text-embedding-004 on 2026-01-14. Update all Google AI embedding examples to default to google:gemini-embedding-2 (the latest GA model) and the legacy example to google:gemini-embedding-001 (still available). Also correct the false claim that the model ID defaults to text-embedding-004: the runtime's google() embedding path requires an explicit model ID and errors with ModelNotProvided when absent (crates/runtime/src/model/embed.rs), across v1.11.x through trunk. Fixes #1926

docs(embeddings): the chunk offset column is <column>_offset, not _offsets (#2170) Every page that documents bring-your-own chunked embeddings named the required offset column '<column_name>_offsets'. The runtime looks for '<column>_offset': offset_col! in runtime-search generates '{col}_offset', ChunkedSearchIndex ::chunking_offset_col formats the same, and base_col strips '_offset'. The consequence is silent. EmbeddingTable::base_table_has_embedding_column looks the column up by that exact name and, unlike the two neighbouring early-returns, logs nothing when it is missing - it just returns false, so the column is not treated as precomputed and Spice re-embeds it from scratch. A user who followed the docs pays for embeddings they already had and gets no diagnostic explaining why. The vector-search page already contradicted itself: its 'describe sales' example for the chunked case shows 'address_offset', matching the code, one section below the constraint that asked for '_offsets'. Swept all 11 doc sets and all three page types that carry the claim.

Add versioned docs for v2.1 (#1903) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>