What the Data for This Category Looks Like
Data sources for marketing content in the oil and gas exploration sector include exploration assessment reports, drilling operation logs, regional reservoir analysis documents, investment cooperation manuals, industry compliance notices, and more. Update rhythms adjust based on business phase: exploration documents are updated phase-by-phase with project progress, marketing materials are updated per promotion cycles, and industry compliance documents are updated per regulatory requirements. Document structures mix professional technical fields and marketing language. Professional fields include porosity, permeability, daily oil production per well, with corresponding units: %, millidarcy (mD), cubic meters per day, and others. Embedded content includes core photos, on-site drilling photos, oil and gas field distribution maps, and some documents contain embedded single-well production statistics tables.
What Constraints These Characteristics Impose on the Document Parsing and Chunking Process
The binding of professional technical fields and their units requires retaining complete semantic units during parsing, and fields must not be split from their corresponding units. The presence of embedded images and tables requires the parsing workflow to support OCR extraction of text from images and structured extraction of table content, otherwise key business information will be lost. Documents have a wide range of lengths: from a few pages of investment manuals to dozens of pages of exploration reports. The chunking strategy needs to balance contextual coherence and retrieval efficiency. Data sources cover multiple formats including local files, Yuque public pages, Feishu documents, and others. Parsing configuration needs to support whitelist verification and permission adaptation for multiple types of data sources. Marketing and professional content are mixed in arrangement, so chunking must retain thematic relevance, and cross-topic content must not be merged into a single chunk.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Oil and gas exploration documents mix technical jargon and marketing language. Chunks that are too long will break contextual association of professional content, while chunks that are too short will split complete technical statements |
enableImageOCR | Enabled | Documents contain embedded core photos, on-site drilling images, and others. OCR can extract professional annotation text from images for the large model to associate and understand |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large exploration reports and bulk marketing material packages takes a long time, the default timeout duration is insufficient for complete loading |
ALLOWED_PARSE_DOMAINS | *.yuque.com, *.feishu.cn, local-file | Covers common oil and gas exploration document data sources, supports importing Yuque public pages, Feishu documents and local files |
enableChunkOverlap | 100–150 characters | Professional terms such as "porosity" and "permeability" may appear across chunks, overlapping segments can retain contextual coherence |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports importing single large exploration reports or bulk marketing material packages, adapting to the volume range of business documents |
The parameter values provided on this page are common recommendations to serve as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and testing on local samples is recommended prior to finalizing settings.
Three Common Misconfigurations
- Images not read by the large model: The symptom is that no image-associated text appears in knowledge base retrieval results, or the large model cannot access image content when called. The cause is that the
enableImageOCRconfiguration is not enabled, and only plain document text is extracted without processing embedded images. - Yuque public links cannot be parsed: The symptom is an "unsupported data source type" error returned during import. The cause is that the Yuque domain name is not added to the
ALLOWED_PARSE_DOMAINSwhitelist, or the link is not set to publicly accessible status. - HTTP tool calls show successful parameter parsing but do not execute: The symptom is that logs show parameter extraction is complete, but downstream tools do not trigger requests. The cause is that the parameter auto-injection switch is not configured, or the bound variable name does not match the professional field in the document.
How to Confirm Proper Configuration
- Upload a single oil and gas exploration investment manual, check if the parsing result includes OCR extracted text for all embedded images, confirming that the
enableImageOCRconfiguration is active. - Import a publicly accessible Yuque exploration report link, verify that the parsing task status is "Completed" with no errors, confirming that the domain name has been added to the whitelist.
- Configure an HTTP tool call and bind the single-well production field from the document, trigger retrieval and check the tool call logs, confirming that parameters are correctly passed.
- Import a Feishu multi-dimensional document, check if the parsing result includes professional fields and their corresponding units from the table, confirming that table parsing functionality is enabled.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.