🟨KDB (Knowledgebase)

Flexible Storage for RAG and Intellectual Analysis

Introduction

KnowledgeBase Service (KDB) — 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

KDB 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

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