# Overview

#### **Qyver Framework Overview**

Qyver’s framework is broadly divided into **two core modules**:

#### **1. Common Module**

Handles **data parsing and schema definition**, ensuring structured data processing.

**Key Components:**

* **DAG (Directed Acyclic Graph)** – Manages dependencies between processing steps.
* **Parser** – Extracts and processes structured/unstructured data.
* **Schema** – Defines the structure of your entities and attributes.

***

#### **2. DSL (Domain-Specific Language) Module**

Defines how **vector computation and search queries** are structured and executed.

**Key Components:**

* **App** – Manages application setup and execution.
* **Executor** – Runs computations and query execution pipelines.
* **Index** – Groups multiple vector spaces for efficient retrieval.
* **Query** – Constructs and executes search queries.
* **Registry** – Stores and manages system components.
* **Source** – Handles data ingestion and connection to external databases.
* **Space** – Defines embedding logic for different data attributes.
* **Storage** – Manages data persistence and indexing.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://qyverlabs.gitbook.io/qyverlabs-docs/reference/overview.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.