What the Data for This Category Looks Like
Data for telecommunications service intelligent due diligence reports comes from operator operation logs, communication link monitoring reports, service provider cooperation agreements, and customer service work orders shared by financial institution partners. Update cadences include real-time link status data, daily operation and maintenance reports, and quarterly special due diligence documents. Document structures contain fields such as link ID, bandwidth parameters, latency metrics, failure frequency, and compliance clauses. Units include Mbps, ms, and times/month. Some documents use a mixed format of structured tables and unstructured text, with wide variation in the length of individual reports.
Constraints Imposed on Vector Models and Indexing
Multi-source mixed data formats require vector models to adapt to both structured fields and unstructured text for semantic encoding. This avoids situations where structured parameters cannot be effectively retrieved. Mixed real-time and scheduled update cadences require indexes to support incremental refresh. This prevents resource consumption caused by full index rebuilding. Wide variation in report length requires chunking strategies to match different content lengths. This avoids lost semantic association from overly long chunks, or broken context integrity from overly short chunks. Due diligence report association requires the retrieval phase to cover associated data across multiple link nodes. This prevents missing key associated information.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embedding_model | bge-large-zh-v1.5 | Adapts to the mixed scenario of structured parameters and unstructured text in telecommunications service due diligence reports, meets industry conventional requirements for semantic retrieval accuracy, and complies with the interface specifications of FastGPT v4.8.21-fix |
chunk_size | 800–1200 characters | Balances semantic integrity and retrieval efficiency of communication link data, avoids vector encoding deviation caused by overly long chunks, or damaged context association caused by overly short chunks |
PARSE_CHUNK_OVERLAP | 100–150 characters | Retains key context of adjacent chunks, avoids loss of associated logic after long-link operation logs are truncated by chunking |
recall_top_k | Top 20 results | Covers associated data of multiple link nodes, meets the retrieval requirements for cross-node associated analysis in due diligence reports |
rerank_top_k | Top 8 results | Filters low-relevance redundant chunks, reduces computational load during the reranking phase, while retaining high-relevance compliance and performance metric data |
index_refresh_interval | 5 minutes | Adapts to the update frequency of real-time communication service link data, ensuring timeliness of retrieval results |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: Retrieval response times out, and the console returns status code 504. Cause: The
chunk_sizeandrecall_top_kparameters are not adjusted for telecommunications service long documents, causing too many chunked data to be loaded in a single retrieval, exceeding system load thresholds. - Phenomenon: Structured fields such as
bandwidthandlatencyhave no matching entries in recall results. Cause: An embedding model adapted for structured fields is not selected, and vectors are only generated for plain text content, resulting in structured parameters that cannot be effectively encoded and retrieved. - Phenomenon: Retrieval latency is too high after reranking, exceeding the allowable range of the business. Cause: Excessively high values are configured for both
recall_top_kandrerank_top_k, and parameters are not adjusted based on telecommunications data volume, resulting in excessive computational load during the reranking phase.
How to Verify Correct Configuration
- Upload a sample telecommunications service due diligence document, check the parsed chunk list, confirm that chunk lengths fall within the configured range of
chunk_size. - Initiate a retrieval request for link parameters, check that the number of returned recall entries matches the configured value of
recall_top_k. - Check the refresh logs on the index management page, confirm that the index completes incremental updates automatically within the
index_refresh_intervalcycle. - Compare retrieval latency before and after enabling reranking, confirm that latency does not show significant abnormal fluctuations and meets business response requirements.
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.