Collapse the multi-strategy entity engine into one benchmarked chunk retrieval path, derive entities from retrieved chunks, and update consumers, docs, and clippy fixes across the workspace.
Replace anyhow in embedding production code with EmbeddingError, move
RetrievalStrategy into common config, and deduplicate Surreal test setup
via common::test_utils.
Relocate SurrealDB serde helpers out of storage types so they can be
reused broadly, and align retrieval-pipeline test setup with configured
embedding dimensions.
- Use with_capacity for chunk_by_source, results, per_entity_traces,
and selected_chunks in assemble() where bound is known
- Pre-allocate tokens/terms vectors in normalize_fts_query and
extract_keywords based on input length
- Pre-allocate neighbor_ids, seen, and ordered in graph expansion
based on relationship count
- Move headless_chrome PDF rasterization from async context to
spawn_blocking, keeping tokio worker threads responsive.
- Switch RerankerPool from tokio::sync::Mutex to std::sync::Mutex
and run TextRerank::rerank inside spawn_blocking, since the
rerank call is CPU-bound with no .await points.
Per Stark