What the Data for This Category Looks Like
Core data for this category comes from contract systems, copyright registration databases, content material libraries, and complaint inboxes. Daily processed documents include authorization contracts, copyright ledgers, removal notices, and infringement complaint materials. Authorization contracts contain fields such as authorizing party, authorized party, authorization scope, and validity period. Copyright ledgers record copyright ownership and expiration dates for materials. Removal notices and complaint materials include information about infringing entities and links to infringing content. Data update frequency is per order or monthly. The text length of a single authorization contract is typically 1000–3000 characters. Single records have many associated fields with strong correlation. There are no scenarios for high-frequency bulk updates.
What Constraints Do These Data Characteristics Impose on Reranking and Hybrid Retrieval?
This category's data characteristics impose three constraints on reranking and hybrid retrieval. First, data sources include structured ledgers and unstructured contract text. Hybrid retrieval must support both semantic matching and structured field matching. This avoids missing key information when using a single retrieval mode. Second, single records have many associated fields. Reranking must first recall fragments strongly related to the core ticket request, such as authorization scope verification or infringement links. This improves the relevance of results. Third, data update frequency is low, but the consequences of errors are severe. The confidence level of retrieval results must match business risks. Do not miss key materials due to over-filtering. Do not increase verification costs for operations on-duty by recalling too many results. The retrieval processing time for a single ticket is typically no more than 300 seconds.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
usingReRank | Enabled, bound to local ollama BGE Reranker v2 m3 model | Adapt to the complex associated data of this category, filter low-relevance contract fragments, and improve retrieval accuracy |
similarity | 0.72–0.85 | Match strongly associated fields such as authorization scope and validity period, avoid introducing irrelevant content due to too low a threshold, or filtering out legitimate core materials due to too high a threshold |
limit | Top 10 entries | Authorization materials involved in a single operations on-duty ticket typically do not exceed 10 copies, control the retrieval scope to reduce subsequent verification costs |
searchMode | hybrid | Combine semantic retrieval for unstructured contract text and structured field retrieval for copyright ledgers to achieve hybrid recall |
Three Common Mistakes
- Phenomenon: Retrieval results are empty or reference fragments are empty after enabling reranking. Cause: The associated data source for the reranking model is not configured, or the similarity threshold is set too high, filtering out legitimate core fragments of authorization contracts.
- Phenomenon: Core authorization scope information is placed later due to unreasonable reranking weight settings. Cause: Reranking parameters are not adjusted based on the field weights of this category's data, and generally matched text is recalled first.
- Phenomenon: An error occurs when configuring the local ollama BGE Reranker v2 m3 model. Cause: The port and file path of the local model are not correctly configured in FastGPT v4.17.0, or the model version is incompatible with the dependency versions of FastGPT.
How to Confirm Configuration Is Successful
- Import a single authorization contract and copyright ledger data, initiate a retrieval that includes "authorization scope", and verify whether the reranked results prioritize displaying core clause content.
- Adjust the
similarityparameter range, verify whether the number of retrieved results matches the material volume for a single operations on-duty ticket, avoiding too many or too few results. - Check the reranking model logs in the FastGPT v4.17.0 backend, confirm that the local ollama model is being called normally, with no error messages.
- Simulate an infringement complaint ticket retrieval, verify whether removal notices and complaint material association results are recalled first, aligning with business requirements.
The values provided are common starting points and should be measured against the user’s own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.