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    • Jira
    • Advanced Settings
      • Auto Sync
      • Embedding
      • Data Parsing
      • Data Chunking
      • Hypothetical Questions
      • Webhook
      • Meta Data
    • Data Storage
    • Programmatically Manage Knowledge Bases
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  • Epsilla Vector Database
    • Overview
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      • Run with Docker
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    • User Manual
      • Connect to a database
      • Create a new table
      • Drop a table
      • Delete a database
      • Insert records
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      • Search the top K semantically similar records
      • Retrieve records (with filters and pagination)
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      • Performance Tuning
    • Advanced Topics
      • Embeddings
      • Dense vector vs. sparse vector
      • Hybrid Search
    • Integrations
      • OpenAI
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      • Voyage AI
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  1. Knowledge Base

Advanced Settings

The advanced settings of the knowledge base in Epsilla provide several customization options to optimize the data retrieval and user experience.

  • Auto Sync feature keeps the knowledge base updated automatically with changes from connected data sources.

  • Embedding setting allows users to select specific embedding models for efficient text representation, improving search quality.

  • Data Parsing helps in extracting relevant information from uploaded files, ensuring the knowledge base is properly indexed.

  • Data Chunking divides large documents into manageable sections for more precise query responses.

  • Hypothetical Questions feature can generate potential questions related to the content to improve the response accuracy.

  • Webhook (optional) enables integrations for event-based updates.

  • Meta Data (optional) allows adding contextual information to enhance search relevance. These advanced settings collectively ensure a well-tailored knowledge base for different user needs.

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Last updated 7 months ago