Docs: Updated Title chunker references (#14483)

### What problem does this PR solve?

Updated Title chunker references

### Type of change

- [x] Documentation Update
This commit is contained in:
writinwaters
2026-04-29 19:37:24 +08:00
committed by GitHub
parent 261be81127
commit 9280c64518
4 changed files with 91 additions and 11 deletions

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@@ -0,0 +1,56 @@
---
sidebar_position: 1
slug: /database_schema_and_migration
sidebar_custom_props: {
categoryIcon: LucideLocateFixed
}
---
# Database schema and migration
Sync schemas and migrate data using official RAGFlow scripts.
---
RAGFlow handles schema updates and migrations automatically at startup. However, for high-volume environments like Kubernetes, massive datasets can cause initialization to exceed 10 minutes, potentially triggering container timeouts or health check failures. To avoid this, you can disable the built-in auto-initialization and manually run these provided scripts to complete database upgrades before launching the service:
- [mysql_migration.py](#mysql_migrationpy): Migrates data between MySQL tables.
- [db_schema_sync.py](#db_schema_syncpy): Syncs database schemas and manages changes using peewee-migrate.
## mysql_migration.py
The [mysql_migration.py](https://github.com/infiniflow/ragflow/blob/main/tools/scripts/mysql_migration.py) script is a specialized tool for re-organizing RAGFlows model-related data. It transitions data from older unified tables into a modern, multi-table structure to support advanced model management.
### Key functions
- **Sequential migration**: Moves data through three distinct stages—Provider, Instance, and Model—to maintain database integrity and satisfy dependencies.
- **Flexible setup**: Connects to MySQL using either a YAML configuration file or direct command-line arguments.
- **Execution control**: Offers three specific modes: dry-run (preview), table-only (structural setup), and execute (full data move).
- **Automated mapping**: Generates unique IDs and handles complex joins between legacy records and new table structures.
- **Batch logging**: Processes records in sets of 100 and provides a final summary of total duration and row counts.
### When to use
- **Version upgrades**: Essential when moving to RAGFlow v0.25 or later to ensure your models are correctly categorized in the new schema.
- **Data normalization**: Necessary when consolidating multiple API keys or LLM providers into the updated system format.
- **Kubernetes deployments**: Useful for setting up the database structure independently using the `--create-table-only` flag before main services start.
- **Migration verification**: Used in dry-run mode to identify any legacy records that still need to be moved to the new tables.
## db_schema_sync.py
The [db_schema_sync.py](https://github.com/infiniflow/ragflow/blob/main/tools/scripts/db_schema_sync.py) script is a synchronization utility that ensures your MySQL database structure matches the Peewee ORM models defined in the RAGFlow source code.
### Key functions
- **Change detection**: Compares Python model definitions in `api/db/db_models.py` against the live database to identify new tables, added fields, or type mismatches.
- **Migration generation**: Automatically creates Python migration files (containing `migrate()` and `rollback()` logic) in version-specific directories (e.g., `tools/migrate/v0_25_0/`).
- **Schema auditing**: Provides a `--diff` command to view structural discrepancies without applying changes.
- **Execution management**: Applies pending migrations to the database to bring it up to date with the current software version.
- **Safety controls**: Prevents accidental data loss by requiring an explicit `--drop` flag to generate `DROP COLUMN` statements for removed fields.
### When to use
- **Version upgrades**: When moving to a new version of RAGFlow that introduces structural database changes.
- **Development**: When modifying `db_models.py` and needing to update your local database without manual SQL.
- **CI/CD pipelines**: To automatically prepare or apply database updates during deployment.
- **Troubleshooting**: When the application fails due to "Unknown column" or "Table not found" errors, indicating a desynchronized schema.

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@@ -23,7 +23,30 @@ Placing a **Title chunker** after a **Token chunker** is invalid and will cause
## Configurations
### Hierarchy
### Hierarchy or Group
Select how a document is split:
- Hierarchy: Construct a heading tree and produce self-contained chunks, each carrying its full ancestral path (e.g. Part 1 Chapter 3 Section 2 + body text). Best for highly structured texts — such as legal statutes, regulations, contracts, and technical specs — where each chunk must be identifiable by its position in the hierarchy.
- Group: Split the document flat at a chosen heading level, merging adjacent small sections to ensure semantic flow. Chunks exclude ancestral path. Best for documents with flowing, contextually connected content — such as books, manuals, reports, and articles — where narrative coherence depends on keeping adjacent paragraphs together.
#### Separate parent-heading content
:::tip NOTE
Available only when **Hierarchy** is selected.
:::
When enabled, chunks include only their heading path and content; content immediately following a parent heading is kept as a separate chunk.
#### Set first chunk as global context
:::tip NOTE
Available only when **Hierarchy** is selected.
:::
Treats the first split as a global heading to maintain consistent context across the document hierarchy. Ideal for resumes where the first section identifies the subject.
#### H3
Specifies the heading level to define chunk boundaries:
@@ -31,8 +54,9 @@ Specifies the heading level to define chunk boundaries:
- H2
- H3 (Default)
- H4
- H5
Click **+ Add** to add heading levels here or update the corresponding **Regular Expressions** fields for custom heading patterns.
Click **+ Add regular expressions** to add heading levels here or update the corresponding **Regular Expressions** fields for custom heading patterns.
### Output

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@@ -1510,16 +1510,16 @@ Example: Virtual Hosted Style`,
author: 'Author',
sectionTitle: 'Section title',
},
includeHeadingContent: 'Include heading content',
includeHeadingContent: 'Separate parent-heading content',
includeHeadingContentTip:
'When enabled, content directly under a heading is kept as its own chunk. Child chunks keep only the heading path.',
'When enabled, chunks include only their heading path and content; content immediately following a parent heading is kept as a separate chunk.',
rootAsHeading: 'Set first chunk as global context',
rootAsHeadingTip:
'Treats the initial split as a global heading to maintain consistent context across the document hierarchy. Ideal for resumes where the first section identifies the subject.',
hierarchyTip: `Build a heading tree and produce self-contained chunks, each carrying its full ancestor heading path (e.g. Part 1 Chapter 3 Section 2 + body text).\n
Best for: Documents with independent, structurally significant sections — such as legal statutes, regulations, contracts, and technical specifications — where each chunk must be identifiable by its structural position even without surrounding context.`,
groupTip: `Split the document flat at a chosen heading level and automatically merge adjacent small sections to preserve content continuity. No parent-heading path is injected.\n
Best for: Documents with flowing, contextually connected content — such as books, manuals, reports, and articles — where adjacent paragraphs should stay together to maintain narrative coherence.`,
'Treats the first split as a global heading to maintain consistent context across the document hierarchy. Ideal for resumes where the first section identifies the subject.',
hierarchyTip: `Construct a heading tree and produce self-contained chunks, each carrying its full ancestral path (e.g. Part 1 Chapter 3 Section 2 + body text).\n
Best for: Highly structured texts — such as legal statutes, regulations, contracts, and technical specs — where each chunk must be identifiable by its position in the hierarchy.`,
groupTip: `Split the document flat at a chosen heading level, merging adjacent small sections to ensure semantic flow. Chunks exclude ancestral path.\n
Best for: Documents with flowing, contextually connected content — such as books, manuals, reports, and articles — where narrative coherence depends on keeping adjacent paragraphs together.`,
enableMultiColumn: 'Detect multi-column layout',
enableMultiColumnTip:
'Detect and parse multi-column page layouts to preserve the correct reading order. Turn this on for PDFs or documents with two-column or newspaper-style layouts.',

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@@ -1261,9 +1261,9 @@ General实体和关系提取提示来自 GitHub - microsoft/graphrag基于
author: '作者',
sectionTitle: '章节标题',
},
includeHeadingContent: '包含标题内容',
includeHeadingContent: '分离上级标题正文',
includeHeadingContentTip:
'启用后,标题下的直接内容将作为一个独立的块保留。子块仅保留标题路径。',
'启用后,每个分块仅保留标题路径和自身内容,与上级标题紧挨着的内容将作为一个独立的块保留。',
rootAsHeading: '将首个切片设为 H0 标题',
rootAsHeadingTip:
'将首个切片设为全局标题,以确保整个文档层级结构中拥有一致的上下文信息。该功能尤其适用于首段包含关键信息的简历。',