filter RAG search result based on score #57
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WalkthroughThe Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant DataSourceLookup
participant VectorDatabase
User->>DataSourceLookup: Call process(input, config, agent)
DataSourceLookup->>VectorDatabase: Search with input
VectorDatabase-->>DataSourceLookup: Return results with scores
DataSourceLookup->>DataSourceLookup: Filter results by scoreThreshold
DataSourceLookup->>DataSourceLookup: Map results (include metadata/score as configured)
DataSourceLookup-->>User: Return processed results
Estimated code review effort2 (~15 minutes) Poem
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Actionable comments posted: 2
🧹 Nitpick comments (2)
packages/core/src/Components/DataSourceLookup.class.ts (2)
79-83: Fix misleading comment.The comment on line 82 doesn't accurately describe what the code is doing. It's simply extracting the score from the search result.
- score: result.score, // use a very low score to return + score: result.score,
87-104: Consider consistent return type for better API design.The current logic returns either a string or an object depending on the flags, which creates inconsistent return types that could cause issues for API consumers.
Consider always returning objects for consistency:
// If neither metadata nor score is included, return just the content string - return includeMetadata || includeScore ? transformedResult : result.content; + return transformedResult;This would ensure consumers always receive objects with a
contentproperty, making the API more predictable and easier to work with.
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packages/core/src/Components/DataSourceLookup.class.ts(4 hunks)
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Files:
packages/core/src/Components/DataSourceLookup.class.ts
🔇 Additional comments (2)
packages/core/src/Components/DataSourceLookup.class.ts (2)
58-59: LGTM! Good backward compatibility consideration.The default values are appropriate, and the comment clearly explains the rationale for the low score threshold to maintain backward compatibility.
106-106: LGTM! Appropriate debug information.The debug output correctly shows the filtered result count, which is valuable information for users.
📝 Description
filter search result from RAG Search component based on score threshold set by user
return score value when Include score is enabled
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