diff --git a/docs/guides/agent/agent_component_reference/parser.md b/docs/guides/agent/agent_component_reference/parser.md new file mode 100644 index 000000000..531e4d1f1 --- /dev/null +++ b/docs/guides/agent/agent_component_reference/parser.md @@ -0,0 +1,17 @@ +--- +sidebar_position: 30 +slug: /parser_component +--- + +# Message component + +A component that sets the parsing rules for your dataset. + +--- + +A **Parser** component sets the parsing rules for various file types, including parsing methods for PDFs , fields to parse for Emails, and OCR methods for images. + + +## Scenario + +An **parser** component is auto-populated on the ingestion pipeline canvase and always required in an ingestion pipeline workflow. \ No newline at end of file diff --git a/docs/release_notes.md b/docs/release_notes.md index e38a0b927..2bd4e7272 100644 --- a/docs/release_notes.md +++ b/docs/release_notes.md @@ -30,7 +30,7 @@ Released on October 15, 2025. - Orchestratable ingestion pipeline: Supports customized data ingestion and cleansing workflows, enabling users to flexibly design their data flows or directly apply the official data flow templates on the canvas. - GraphRAG & RAPTOR write process optimized: Replaces the automatic incremental build process with manual batch building, significantly reducing construction overhead. -- Long-context RAG: Automatically generates document-level table of contents (TOC) structures to mitigate context loss caused by inaccurate or excessive chunking, substantially improving retrieval quality. This feature is now available via a TOC extraction template. +- Long-context RAG: Automatically generates document-level table of contents (TOC) structures to mitigate context loss caused by inaccurate or excessive chunking, substantially improving retrieval quality. This feature is now available via a TOC extraction template. See [here](./guides/dataset/extract_table_of_contents.md). - Video file parsing: Expands the system's multimodal data processing capabilities by supporting video file parsing. - Admin CLI: Introduces a new command-line tool for system administration, allowing users to manage and monitor RAGFlow's service status via command line.