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feat: Enhance the triplets extraction in the knowledge graph by the batch size #2091
feat: Enhance the triplets extraction in the knowledge graph by the batch size #2091
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Co-authored-by: Appointat <[email protected]>
Co-authored-by: Appointat <[email protected]>
@Aries-ckt @fanzhidongyzby Could you please review it and add some tags? thanks |
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LGTM.
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The read and write order of chunk_history in _graph_extractor
needs to be adjusted, otherwise it will lead to inconsistency between text block recall and serial semantics.
Co-authored-by: Appointat <[email protected]>
Co-authored-by: Appointat <[email protected]>
Co-authored-by: Appointat <[email protected]>
…thod Co-authored-by: Appointat <[email protected]>
Thank you for your comment, I fixed it just now. |
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refine the code by following comments
…ySummaryKnowledgeGraph
…GraphStoreAdapter
…CommunitySummaryKnowledgeGraph
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lgtm
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LGTM
Description
It calls the async function to accelerate the process of triplets extraction from the chunk text. The config can be set in the
.env
TRIPLET_EXTRACTION_BATCH_SIZE
(default to 20).How Has This Been Tested?
I have run the app server by set the value of TRIPLET_EXTRACTION_BATCH_SIZE differently. (1, 5, 100), and the running time varies.
Snapshots:
Checklist: