Refactor the Extractor component into a pure, unified **5-in-1 modular extraction engine** across both Dataset (`knowledgebase.parser_config`) and Pipeline (Canvas DSL).
This PR modularizes the **Extractor** component configuration with dedicated feature subtabs, adds independent system prompt configuration, fixes multi-node execution determinism and parameter persistence across save and page refresh, and ensures backward compatibility with legacy flat fields.
Fixes the defect where selecting many files (e.g. 20+) in one dataset and starting parsing at once leaves most of them stuck in `RUNNING` forever: a few parse, the rest never do.
Fixes Go ingestion progress reporting and pipeline selection:
- Add timestamps to document progress logs.
- Keep document duration and status updated during parsing.
- Start frontend polling immediately after parsing begins.
- Prevent documents explicitly using General from inheriting an old
dataset pipeline.
- Populate missing pipeline operation log fields.
- Remove stale component progress logs between retries.
- Prevent progress values greater than `1`.
Add `ManualChunker`, the Go port of Python's `manual` doc-type chunk method (`rag/app/manual.py`). Like `GroupTitleChunker` it merges adjacent text records into heading-bounded groups, but it first re-sorts the records into physical reading order before grouping.
When `TokenChunker` starts a fresh chunk with an overlap prefix (Go `computeOverlapPrefix` / Python visible-text cut), the previous chunk's **tail PDF coordinates were dropped**. As a result, the overlap head of a PDF chunk is displayed but **not highlighted** — the highlight box is shifted/truncated relative to the displayed span (infiniflow/ragflow#18148).
Collapse the nine identical **"cut through the last `</think>`"**
implementations — mirroring Python's `re.sub(r"^.*</think>", "", s,
re.DOTALL)` — into one shared helper `common.StripThinkTrailing`,
preventing future behavior drift between copies.
Fix compilation template config validation for JSONMap; merge template groups into agents list ordered by category/name; install nav service in ingestor; write readable nav cluster/doc names and emit nav_doc leaves;
port tree-to-graph projection and full document structure graph endpoint parity.
Go's `TokenChunker` previously ignored **bare (non-backtick)
delimiters** such as `::`, `.`, or `；`. `compileDelimPattern` compiled
them with `keepBare=false`, so a bare delimiter produced a `nil` pattern
and the payload was routed to the single-section merge that never split
on it — diverging from Python's `naive_merge`, which splits on bare
delimiters and then merges by token size.
Make `ResolveModelContentLength` honor the per-model custom **context window length** (`content_length`) — stored in the Python-legacy `tenant_model.extra["max_tokens"]` field, whose semantic meaning is the context window, NOT the generation cap — **before** any provider-catalog read, and remove the parallel service-layer implementation so every consumer shares one resolution path.
Trim Extractor call prompts and the automatic tagger prompt to the chat model's context window (`content_length`) before sending, so oversized chunks or tag files are trimmed instead of rejected by the provider with a context-length error.
### Summary
- Propagate the dataset language through Go DOCX, Markdown, PDF
figure-enhancement, and standalone-image vision paths.
- Explicitly render the shared figure prompt's `{{ language }}`
placeholder in Go.
- Use English when the dataset language is empty.
- Make the default standalone-image prompt request the dataset language
while preserving visible text in its original language.
- Add focused tests for caller propagation, language fallback, prompt
rendering, and prompt-cache isolation.
Port the wiki_incremental dataset-level merge and make its rewrite
barrier durable and concurrency-safe. Wiki pages merge replace-only; the
barrier persists a monotonic numeric generation, and a scheduler-backed
per-dataset lock closes the cross-process TOCTOU window. Adds the
Compiler Plan toggle (frontend) with Mode A grouping.
Golden-parity test infrastructure for the **Go `TokenChunker` ↔ Python alignment**.
It runs the Go chunker over a committed case set (`testdata/parity/cases/`) and diffs each output against a captured Python golden (`testdata/parity/golden/`), honoring a `known_diffs.json` ratchet (`extra_fields` / `chunk_count` / `chunk_text`) so accepted divergences are tracked rather than silently widening.
Port dataset-level wiki incremental compile and refactor splitByTokens
token budgeting. Includes replace-only wiki merge, KNN dedup routing,
and template/config wiring.
Unifies the Go TokenChunker merge path on a single `mergeUnits` core and
fixes coordinate-tag drift in the Python JSON merge at `overlap > 0`.
Rebased on top of #17979 (delimiter_mode convergence).
Re-materialize wiki page graph from merged wiki_page rows after each
batch merge. Adds ProjectWikiGraph/DropWikiGraph, full page_type/slug
identity, delete-then-insert, tests.
