Documentation Cloud4.ai
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  • 🌟Cloud4.ai Documentation
  • Introduction
    • Overview
    • Security
    • 💸Pricing
    • 😀Commission to Model Developers
    • Backlog
    • Enterprise
  • SDK
    • 🚩Quick Start
    • 🔐Authentication
    • ⚙️Configurations & Env Variables
    • ⭐Request
      • Execution Options
      • Execution Schedule
    • 🔗Response
    • 🔶Commands
    • 🟥Errors
  • Concept
    • Organization Structure
    • C4AI Command
    • SIC (Service Identity Code)
    • .cc4
    • 📕Glossary
  • Services
    • General Information
    • 🟨EES (Elastic Endpoint)
      • 🔶EES Commands
      • Use Cases
    • 🟨CSS Credentials Store
      • Best Practices
    • 🟨AAC (AI API Connector)
      • AAC Commands
    • 🟨AIL (AI Lambda)
    • 🟨CES (Chain Execution)
    • 🟨API Schema
    • 🟨KDB (Knowledgebase)
      • KDB Commands
    • 🟨CDB (Context Data Storage)
    • 🟨PL (Prompt Library)
      • PL Commands
    • 🟨PLPrompt (Prompt)
      • Prompt Commands
    • 🟨IDR (Intellectual Data Retrieval)
    • 🟨IDTS (Intellectual Data Transformation Service)
    • 🟨IDOS (Intellectual Data Observation Service)
    • 🟨Files
    • 🟨SJS (Scheduled Job Service )
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  • Introduction
  • Usage Scenarios
  • Structure
  • Configurations
  • Embeddings
  • Injection Prompt

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  1. Services

KDB (Knowledgebase)

Flexible Storage for RAG and Intellectual Analysis

PreviousAPI SchemaNextKDB Commands

Last updated 1 year ago

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Introduction

KnowledgeBase Service () — is a service that allows you to create your own attachable storage for many integrations using RAG technique.

  • Individual Parsing Strategy with AIL/AAC: You can define different models for each filetype or specific file to improve data quality.

  • Unlimited DBs Number: You can create an individual DB for each your customer or product to use it in specific cases.

  • Multiple Attach: You can attach multiple KDBs to each request (depending on model limits) to get more accurate responses.

  • Semantic Search: You can search across your data empower your engine with AI.

Usage Scenarios

Structure

  • File: You can define different models for each filetype or specific file to improve data quality.

  • Source: You can create an individual DB for each your customer or product to use it in specific cases.

  • Record: You can attach multiple KDBs to each request (depending on model limits) to get more accurate responses.

  • Embeddings: You can search across your data.

Configurations

Embeddings

Injection Prompt

Injection prompt is a prompt that uses to wrap or attach a context from KDB to your actual request.

Examples

Sdsd

🟨
KDB
KDB Structure