What the Data for This Category Looks Like
Telecommunications equipment research reports primarily originate from securities firm telecommunications industry research reports, industry association standard documents, public technical whitepapers from leading equipment manufacturers, and operator centralized procurement announcements. Update cycles fluctuate with industry technology iterations and bidding periods, with no fixed release frequency. Document structures include core equipment parameters, technology route comparisons, market analysis, and downstream application scenarios. Some documents contain structured parameter tables. Fields include research report title, issuing institution, release time, equipment model, technical standard version. Units are mostly Mbps, W, units, and similar.
Constraints Imposed on Knowledge Base Retrieval and Recall
The multi-source and dispersed nature of telecommunications equipment research reports requires knowledge bases to support permission isolation and unified cross-data-source retrieval, preventing mixing of public and private documents. Documents contain large volumes of structured parameters and tables, so the recall link must retain field correlation, and must not split content to break parameter correspondence. Data sources with no fixed update frequency require flexible incremental synchronization rules to avoid recalling outdated content. Significant variation in single-document length requires adaptive chunking strategies to balance context completeness and retrieval efficiency.
Recommended Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
RECALL_TOP_K | Top 10–15 entries | Telecommunications equipment research reports contain a large number of professional parameters. A sufficient number of candidate documents must be recalled before reranking to filter accurate results |
PARSE_CHUNK_SIZE | 800–1200 characters | Research reports include long technical descriptions and tables. Excessively long chunks lead to redundant context, while excessively short chunks split parameter correlations |
PARSE_TABLE_PRESERVE_STRUCT | Enabled | Parameter comparison tables in telecommunications equipment research reports are core retrieval content. Table structures must be retained, and must not be split into plain text |
SYNC_INCREMENTAL_TRIGGER | Incremental sync by release time | Telecommunications equipment research reports have no fixed update cycle. Syncing by release time avoids repeatedly pulling already processed documents |
MAX_CONTEXT_LENGTH | 6000–8000 characters | Core parameter paragraphs of single telecommunications equipment research reports are lengthy. Sufficient context must be retained to support question-and-answer accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some large manufacturer technical whitepaper documents have large file sizes, requiring sufficient time to complete parsing |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Phenomenon: A parameter limit exceeded error is returned when calling the
pushDatainterface. Cause: Batch push requests are not split according to the maximum limit of 200 data groups per batch, and the number of data groups submitted in a single request exceeds the threshold. - Phenomenon: After configuring an internal network Confluence data source, parsing results are empty or content cannot be read. Cause: The internal network access proxy is not configured, or the FastGPT service IP is not added to the Confluence access whitelist, causing the parsing service to fail to access internal network resources.
- Phenomenon: After uploading a doc format document, no parsed content appears in the knowledge base. Cause: The parsing plugin for the corresponding document format is not enabled, or the document is encrypted or damaged.
How to Confirm Configuration is Correct
- Perform a manual upload test for a single telecommunications equipment research report, and check the field integrity and structure retention of the parsed document.
- Call the
pushDatainterface to submit test data within 200 groups, and confirm that the interface returns a successful status code. - After configuring an internal network data source, use a test document accessible from the internal network for parsing, and check whether content can be read normally.
- Initiate a simulated retrieval request, verify that recall results include professional parameters and scenario content related to the telecommunications equipment industry, and adjust configuration items to match retrieval needs.
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.