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### RAGFlow workspace code commit ID
14bb02ee4584c1ab18f0c722c48beecd6bbf9860 — the commit that v1.0.0-rc1 points to. (This deployment is a Docker image install, not a source checkout; the container's /ragflow/VERSION is v1.0.0-rc1, and all file paths and line numbers below were verified against that tag.)
### RAGFlow image version
v1.0.0-rc1 — swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc1 (image ID c51ce53db953), CPU image.
### Other environment information
```Markdown
- Hardware parameters: Windows 11 workstation, Docker Desktop (WSL2 backend), single node
- OS type: Windows
- Others: docker compose stack (MySQL / Elasticsearch / MinIO / Redis). knowledgebase.parser_id = general, knowledgebase.pipeline_id = NULL, document.pipeline_id = NULL. Test document is DOCX.
Document structure used in the report — a Q&A export where one record spans 5 Word paragraphs:
383 paragraphs total (307 non-empty, 76 empty separators)
76 records, each starting with "问："
73 records = 5 paragraphs, 3 records = 6 paragraphs
paragraph layout per record: 问：… / 名 称：… / 发布日期：… / 答：… / (blank)
```
### Actual behavior
[ragflow-issue-delimiter-qa-chunking.md](https://github.com/user-attachments/files/32882986/ragflow-issue-delimiter-qa-chunking.md)
### Expected behavior
1. A delimiter entered in the parser-config "Delimiter" field should be persisted to the location the chunker actually reads (GeneralChunker:SixApplesFall.delimiters), so the setting has an effect.
2. For a DOCX whose records each span several paragraphs, it should be possible to produce one chunk per record — and the chunk boundary should not depend on the record's character/token length.
### Steps to reproduce
```Markdown
1. Create a file with N records, each formatted as several paragraphs, e.g.:
问：<question>
名 称：<name>
发布日期：<date>
答：<answer>
<empty paragraph>
(76 records → 383 paragraphs; see "Other environment information")
2. Upload it to a knowledge base whose parser_id is general, and parse it. → N is not reproduced; you get chunks that cut across records.
3. To see Defect 1, open the parser config for the knowledge base (or the document), type a delimiter into the Delimiter field and save, then inspect the DB:
SELECT parser_config FROM document WHERE name = '<file>';
→ no top-level delimiter key is written.
Minimal repro of Defect 1 at unit level (no server needed):
import { normalizeParserConfig } from './src/hooks/parser-config-utils';
normalizeParserConfig({ delimiter: '`问：`' });
// actual: {}
// expected: { 'GeneralChunker:SixApplesFall': { delimiters: ['问：'] } }
```
### Additional information
elated
- PR #17723 — "fix: align pipeline delimiter chunking". Source of the current contract: bare (non-backtick) delimiters are hints that are merged by token size; a backtick delimiter is a hard split.
- Issue #18552 (closed) — the same semantics on the pre-rewrite Python path: "naive_merge 'custom delimiter' branch silently bypasses chunk_token_num". The Go implementation carried that behaviour over (see bare_delimiter_test.go). Worth noting for this report: capping custom-delimiter segments by chunk_token_num would not fix the Q&A case, because what is needed here is for the delimiter to group several paragraphs into one chunk, not to cap them.
- PR #20473 (closed, 2026-09-30) — a .docx one-chunk regression in the Python _build_cks path. Different symptom, but it shows the DOCX path has been moving around.
- Issue #5682 — changing delimiters in the knowledge base does not affect already-parsed chunks.
Suggested fix for Defect 1
Re-home the flat delimiter in normalizeParserConfig(), using the same string → list parsing the backend uses for legacy values (ParseDelimiterField, which understands the backtick syntax), for example:
if (delimiter !== undefined && delimiter !== null) {
scoped['GeneralChunker:SixApplesFall'] = {
...(scoped['GeneralChunker:SixApplesFall'] as Record<string, any> | undefined),
delimiters: parseDelimiterField(delimiter), // '`问：`' -> ['问：']
};
}
and update parser-config-utils.test.ts so it asserts the re-homing instead of not.toHaveProperty('delimiter').
Suggested fix / design question for Defect 2
The chunker's unit for DOCX is the paragraph, so a delimiter can only split, never group. For record-oriented DOCX (Q&A, FAQ, log-style exports) what is needed is a record boundary, not a split point: consecutive paragraphs should be accumulated into one unit and flushed when the delimiter matches, producing one chunk per record regardless of length. Two options:
- make the built-in general DOCX path treat a custom (backtick) delimiter as a grouping/record boundary rather than a split point, or
- provide an equivalent of the qa parser for multi-paragraph DOCX records (today qa targets CSV/spreadsheet input).
Workaround currently used
Pre-processing the DOCX so that one record becomes a single paragraph (using <w:br/> for the intra-record line breaks) makes the custom-delimiter path behave as expected. If anyone from the team wants to reproduce, that variant of the same document is easy to produce and I can attach it.
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<!-- Answer -->
#20497 is a corrected version of this report, based on the shipped v1.0.0-rc1 build rather than the current main branch, and the root cause it describes still holds today.
The backend is unchanged: `generalChunkerParam.Update` reads `delimiters`/`delimiter` only from the config map it receives, and that map is the `GeneralChunker:SixApplesFall` node's own scoped params, never the dataset-level flat `parser_config` [[1]](https://github.com/infiniflow/ragflow/blob/9766c8c5483b10d923acbbf2ba5e25b14819be19/internal/ingestion/component/chunker/general.go#L65-L77). Nothing on the Go side bridges a flat `delimiter` onto that node.
What changed is how the frontend handles that gap. At the v1.0.0-rc1 commit, `normalizeParserConfig` returned `delimiter` untouched as a flat key, so it reached the API and the backend then ignored it, as #20497 describes.
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Claiming for fix. Plan: add a "prefix-greedy merge" mode to the GeneralChunker that, when an active delimiter is backtick-wrapped, groups consecutive paragraphs whose stripped text starts with the delimiter's inner content (capped by chunk_token_size). This produces one chunk per logical Q&A record — the format the user described (76 records → 76 chunks, each starting with `问：`) — instead of one chunk per paragraph (the current 275-chunk shred). — Harsh23Kashyap