MCN operations: product questions with hybrid retrieval

Review hybrid retrieval for product questions in MCN operations. Check document scope, failure paths and source evidence through controlled tests.

What the documents look like

For product questions in MCN operations, this page examines FastGPT hybrid retrieval. Compare the material received with the sources used in the answer. The examples are hypothetical.

Constraints at the hybrid retrieval step

Candidates for an influencer product question should reach the contractual scope of permitted promotion. Where the proposed contract lists product types, test a natural question about permitted products alongside the category words used in the clause. Record whether the retrieved passage includes the scope and its restrictions. Reranking needs the complete question. A training record or adjacent business passage appearing first must not displace the clause that defines the reading scope. This test checks text coverage, without executing an approval.

Configuration and implementation checks

Item or implementation checkInput or applicable conditionTraceable check
Fused candidatesBeauty scope in the contract and digital stream in schedulingIdentify the source of each category statement.
Complete questionPermitted promotion categories and scheduled contentKeep contractual scope in the question about the planned stream.
Minimum relevanceInspect filtering under semantic or reranking conditionsCheck whether filtering removes the contractual restriction.
Citation token limitRetain the scope clause and its restrictionDo not reduce the beauty limitation to unrestricted promotion.
Missing-source retestCommission wording lacks model-specific promotion requirementsTrace the added clause after obtaining model information.

Documented conditions

Documented item / implementation checkCondition
Hybrid retrievalVector and full-text results use RRF fusion.
RerankingReranking reorders candidates using the full question.
Minimum relevanceFiltering applies to semantic search or reranking.
Citation limitCitation content is limited by tokens.
Question optimizationCompare subjects and restrictions after optimization.

Three common errors

The proposed contract allows beauty products, while account scheduling assigns a digital-product stream. Inspect both statements together. Check whether candidates contain the relevant influencer and category descriptions, then look for a contractual restriction omitted after sorting. A schedule passage matching “digital-product stream” cannot establish that the contract permits it. If a token-based citation limit removes the restriction, retain the omitted location, adjust the limit and repeat the same question with both sources traceable. Assign an explicit source role to the contractual restriction and the planned stream. The answer should make clear what each passage supports; citing the schedule alone leaves the contractual scope unresolved, even where the stream description closely matches the query.

How to verify the setup

A contract describing commission settlement does not directly supply requirements for promoting a specific model. Register this gap instead of seeking a model restriction through a higher rank for the same clause. After receiving applicable promotion material, inspect whether its terms enter candidates and reach citations. Compare the original and optimized questions as well, ensuring that a model-specific request has not become an unsupported conclusion about permission to promote the product.

Material contextScope
Document typesInfluencer Contract, Training Records, Violation Handling Form and Account Scheduling
Candidate sourcesMCN Backend, Platform Violation Notice, Influencer Account Data and Contract Ledger
Technical baselineFastGPT v4.17.2