mirror of
https://github.com/infiniflow/ragflow.git
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d51789e2be
### What problem does this PR solve? Feat: update templates && add resume template ### Type of change - [x] New Feature (non-breaking change which adds functionality)
648 lines
39 KiB
JSON
648 lines
39 KiB
JSON
{
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"id": 25,
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"title": {
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"en": "Title Chunker",
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"de": "Titel basierte Segmentierung",
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"zh": "标题切片"
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},
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"description": {
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"en": "This template slices the parsed file based on its title structure. It is ideal for documents with well-defined headings, such as product manuals, legal contracts, research reports, and academic papers.",
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"de": "Diese Vorlage segmentiert die geparste Datei basierend auf ihrer Titelstruktur. Sie eignet sich ideal für Dokumente mit klar definierten Überschriften, wie Produkthandbücher, Verträge, Forschungsberichte und wissenschaftliche Arbeiten.",
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"zh": "此模板将解析后的文件按标题结构进行切片，适用于具有清晰标题层级的文档类型，如产品手册、合同法规、研究报告和学术论文等。"
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},
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"canvas_type": "Ingestion Pipeline",
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"canvas_category": "dataflow_canvas",
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"dsl": {
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"components": {
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"Extractor:DryRatsGive": {
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"downstream": [
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"Tokenizer:WackyOnionsFly"
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],
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"obj": {
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"component_name": "Extractor",
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"params": {
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"field_name": "summary",
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"frequencyPenaltyEnabled": true,
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"frequency_penalty": 0.7,
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"llm_id": "THUDM/GLM-4.1V-9B-Thinking@SILICONFLOW",
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"maxTokensEnabled": false,
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"max_tokens": 256,
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"outputs": {
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"chunks": {
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"type": "Array<Object>",
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"value": []
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}
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},
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"presencePenaltyEnabled": true,
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"presence_penalty": 0.4,
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"prompts": [
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{
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"content": "Text to Summarize:\n{TitleChunker:WideResultsTeach@chunks}",
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"role": "user"
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}
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],
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"sys_prompt": "Act as a precise summarizer. Your task is to create a summary of the provided content that is both concise and faithful to the original.\n\nKey Instructions:\n1. Accuracy: Strictly base the summary on the information given. Do not introduce any new facts, conclusions, or interpretations that are not explicitly stated.\n2. Language: Write the summary in the same language as the source text.\n3. Objectivity: Present the key points without bias, preserving the original intent and tone of the content. Do not editorialize.\n4. Conciseness: Focus on the most important ideas, omitting minor details and fluff.",
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"temperature": 0.1,
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"temperatureEnabled": true,
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"tenant_llm_id": 63,
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"topPEnabled": true,
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"top_p": 0.3
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}
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},
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"upstream": [
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"TitleChunker:WideResultsTeach"
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]
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},
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"File": {
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"downstream": [
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"Parser:HipSignsRhyme"
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],
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"obj": {
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"component_name": "File",
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"params": {}
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},
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"upstream": []
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},
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"Parser:HipSignsRhyme": {
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"downstream": [
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"TitleChunker:WideResultsTeach"
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],
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"obj": {
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"component_name": "Parser",
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"params": {
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"outputs": {
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"html": {
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"type": "string",
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"value": ""
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},
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"json": {
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"type": "Array<object>",
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"value": []
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},
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"markdown": {
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"type": "string",
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"value": ""
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},
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"text": {
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"type": "string",
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"value": ""
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}
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},
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"setups": {
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"doc": {
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"output_format": "json",
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"preprocess": "main_content",
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"suffix": [
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"doc"
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]
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},
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"docx": {
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"flatten_media_to_text": false,
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"output_format": "json",
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"preprocess": "main_content",
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"suffix": [
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"docx"
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],
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"vlm": {}
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},
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"email": {
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"fields": [
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"from",
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"to",
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"cc",
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"bcc",
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"date",
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"subject",
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"body",
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"attachments"
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],
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"output_format": "text",
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"preprocess": "main_content",
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"suffix": [
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"eml",
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"msg"
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]
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},
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"html": {
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"output_format": "json",
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"preprocess": "main_content",
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"suffix": [
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"htm",
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"html"
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]
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},
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"image": {
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"output_format": "text",
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"parse_method": "ocr",
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"preprocess": "main_content",
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"suffix": [
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"jpg",
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"jpeg",
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"png",
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"gif"
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],
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"system_prompt": ""
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},
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"markdown": {
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"flatten_media_to_text": false,
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"output_format": "json",
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"preprocess": "main_content",
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"suffix": [
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"md",
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"markdown",
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"mdx"
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],
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"vlm": {}
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},
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"pdf": {
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"flatten_media_to_text": false,
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"output_format": "json",
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"parse_method": "DeepDOC",
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"preprocess": "main_content",
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"suffix": [
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"pdf"
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],
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"vlm": {}
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},
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"slides": {
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"output_format": "json",
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"parse_method": "DeepDOC",
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"preprocess": "main_content",
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"suffix": [
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"pptx",
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"ppt"
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]
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},
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"spreadsheet": {
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"flatten_media_to_text": false,
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"output_format": "html",
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"parse_method": "DeepDOC",
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"preprocess": "main_content",
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"suffix": [
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"xls",
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"xlsx",
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"csv"
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],
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"vlm": {}
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},
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"text&code": {
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"output_format": "json",
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"preprocess": "main_content",
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"suffix": [
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"txt",
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"py",
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"js",
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"java",
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"c",
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"cpp",
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"h",
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"php",
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"go",
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"ts",
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"sh",
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"cs",
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"kt",
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"sql"
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]
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}
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}
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}
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},
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"upstream": [
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"File"
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]
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},
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"TitleChunker:WideResultsTeach": {
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"downstream": [
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"Extractor:DryRatsGive"
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],
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"obj": {
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"component_name": "TitleChunker",
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"params": {
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"hierarchy": 3,
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"include_heading_content": false,
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"levels": [
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[
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"^#[^#]",
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"^##[^#]",
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"^###[^#]",
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"^####[^#]"
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],
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[
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"\u7b2c[\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e0-9]+(\u5206?\u7f16|\u90e8\u5206)",
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"\u7b2c[\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e0-9]+\u7ae0",
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"\u7b2c[\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e0-9]+\u8282",
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"[\\(\uff08][\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e]+[\\)\uff09]"
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],
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[
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"\u7b2c[0-9]+\u7ae0",
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"\u7b2c[0-9]+\u8282",
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"[0-9]{1,2}[\\. \u3001]",
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"[0-9]{1,2}\\.[0-9]{1,2}($|[^a-zA-Z/%~.-])",
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"[0-9]{1,2}\\.[0-9]{1,2}\\.[0-9]{1,2}"
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],
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[
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"\u7b2c[\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e0-9]+\u7ae0",
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"\u7b2c[\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e0-9]+\u8282",
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"[\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e]+[ \u3001]",
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"[\\(\uff08][\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e]+[\\)\uff09]",
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"[\\(\uff08][0-9]{,2}[\\)\uff09]"
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],
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[
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"PART (ONE|TWO|THREE|FOUR|FIVE|SIX|SEVEN|EIGHT|NINE|TEN)",
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"Chapter (I+V?|VI*|XI|IX|X)",
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"Section [0-9]+",
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"Article [0-9]+"
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]
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],
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"method": "hierarchy"
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}
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},
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"upstream": [
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"Parser:HipSignsRhyme"
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]
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},
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"Tokenizer:WackyOnionsFly": {
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"downstream": [],
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"obj": {
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"component_name": "Tokenizer",
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"params": {
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"fields": "text",
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"filename_embd_weight": 0.1,
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"outputs": {},
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"search_method": [
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"embedding",
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"full_text"
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]
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}
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},
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"upstream": [
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"Extractor:DryRatsGive"
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]
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}
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},
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"globals": {
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"sys.history": []
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},
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"graph": {
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"edges": [
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{
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"id": "xy-edge__Filestart-Parser:HipSignsRhymeend",
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"source": "File",
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"sourceHandle": "start",
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"target": "Parser:HipSignsRhyme",
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"targetHandle": "end"
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},
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{
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"id": "xy-edge__Parser:HipSignsRhymestart-TitleChunker:WideResultsTeachend",
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"source": "Parser:HipSignsRhyme",
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"sourceHandle": "start",
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"target": "TitleChunker:WideResultsTeach",
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"targetHandle": "end"
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},
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{
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"id": "xy-edge__TitleChunker:WideResultsTeachstart-Extractor:DryRatsGiveend",
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"source": "TitleChunker:WideResultsTeach",
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"sourceHandle": "start",
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"target": "Extractor:DryRatsGive",
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"targetHandle": "end"
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},
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{
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"id": "xy-edge__Extractor:DryRatsGivestart-Tokenizer:WackyOnionsFlyend",
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"source": "Extractor:DryRatsGive",
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"sourceHandle": "start",
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"target": "Tokenizer:WackyOnionsFly",
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"targetHandle": "end"
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}
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],
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"nodes": [
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{
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"data": {
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"label": "File",
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"name": "File"
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},
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"id": "File",
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"measured": {
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"height": 50,
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"width": 200
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},
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"position": {
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"x": 50,
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"y": 200
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},
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"sourcePosition": "left",
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"targetPosition": "right",
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"type": "beginNode"
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},
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{
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"data": {
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"form": {
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"outputs": {
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"html": {
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"type": "string",
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"value": ""
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},
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"json": {
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"value": []
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},
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"markdown": {
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"type": "string",
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"value": ""
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},
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"text": {
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"value": ""
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}
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},
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"setups": [
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{
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"fileFormat": "pdf",
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"flatten_media_to_text": false,
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"output_format": "json",
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"parse_method": "DeepDOC",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "spreadsheet",
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"flatten_media_to_text": false,
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"output_format": "html",
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"parse_method": "DeepDOC",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "image",
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"output_format": "text",
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"parse_method": "ocr",
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"preprocess": "main_content",
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"system_prompt": ""
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},
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{
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"fields": [
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"from",
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"to",
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"cc",
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"date",
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"subject",
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"body",
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"attachments"
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],
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"fileFormat": "email",
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"output_format": "text",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "markdown",
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"flatten_media_to_text": false,
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"output_format": "json",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "text&code",
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"output_format": "json",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "html",
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"output_format": "json",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "doc",
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"output_format": "json",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "docx",
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"flatten_media_to_text": false,
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"output_format": "json",
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"preprocess": "main_content"
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},
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{
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"fileFormat": "slides",
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"output_format": "json",
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"parse_method": "DeepDOC",
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"preprocess": "main_content"
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}
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]
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},
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"label": "Parser",
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"name": "Parser_0"
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},
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"dragging": false,
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"id": "Parser:HipSignsRhyme",
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"measured": {
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"height": 57,
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"width": 200
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},
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"type": "parserNode"
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{
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"data": {
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"form": {
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"hierarchy": "3",
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"method": "hierarchy",
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"outputs": {
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"chunks": {
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"type": "Array<Object>",
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"value": []
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}
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},
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"rules": [
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{
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"levels": [
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{
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"expression": "^#[^#]"
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{
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{
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"expression": "^###[^#]"
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]
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{
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"levels": [
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}
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