Knowledge settings
Here you can modify the properties and retrieval settings of this Knowledge.
Name & Icon
Description
Permissions
Chunk Structure
Learn more about Chunk Structure.
GeneralGeneral text chunking mode, the chunks retrieved and recalled are the same.
Parent-ChildThe child chunk is used for retrieval and the parent chunk is used for recall as context.
Q&ACreate documents that pair questions with answers for question based retrieval.
Index Method
High QualityRecommendCalling the embedding model to process documents for more precise retrieval helps LLM generate high-quality answers.
EconomicalUsing 10 keywords per chunk for retrieval, no tokens are consumed at the expense of reduced retrieval accuracy.
Number of Keywords
Embedding Model
Summary Auto-Gen
Disabled
Once enabled, summaries will be generated automatically for newly added documents. Existing documents can still be summarized manually.
Retrieval Setting
Learn more about retrieval method.
Vector SearchGenerate query embeddings and search for the text chunk most similar to its vector representation.
Rerank Model
Top K
Score Threshold
Full-Text SearchIndex all terms in the document, allowing users to search any term and retrieve relevant text chunk containing those terms.
Hybrid SearchRecommendExecute full-text search and vector searches simultaneously, re-rank to select the best match for the user query. Users can choose to set weights or configure to a Rerank model.