> For the complete documentation index, see [llms.txt](https://docs.cloud4.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloud4.ai/services/kdb-knowledgebase.md).

# KDB (Knowledgebase)

## Introduction 

**KnowledgeBase Service** ([KDB](https://cloud4.ai/services/kdb.html)) — 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

<figure><img src="/files/gG9SWIiRcIX8XT2xVt0Z" alt=""><figcaption><p>KDB Structure</p></figcaption></figure>

* **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&#x20;

### Embeddings&#x20;

### Injection Prompt

Injection prompt is a prompt that uses to wrap or attach a context from KDB to your actual request.&#x20;

#### Examples

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