> ## Documentation Index
> Fetch the complete documentation index at: https://docs.a1facts.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# KnowledgeAcquirer

> The `KnowledgeAcquirer` class is responsible for enriching and updating the knowledge graph with validated information from various knowledge sources.

The `KnowledgeAcquirer` class uses an agent to interact with defined knowledge sources, acquire new information, and update the knowledge graph.

### `__init__(self, graph: KnowledgeGraph, ontology: KnowledgeOntology, knowledge_sources_config_file: str)`

Initializes a new instance of the `KnowledgeAcquirer` class.

<RequestExample>
  ```python theme={null}
  from a1facts.enrichment import KnowledgeAcquirer
  from a1facts.graph import KnowledgeGraph
  from a1facts.ontology import KnowledgeOntology

  ontology = KnowledgeOntology(ontology_file="ontology.yaml")
  kg = KnowledgeGraph(ontology=ontology)
  acquirer = KnowledgeAcquirer(
      graph=kg,
      ontology=ontology,
      knowledge_sources_config_file="sources.yaml",
      disable_exa=False
  )
  ```
</RequestExample>

**Parameters:**

* `graph` (KnowledgeGraph): The knowledge graph to be updated.
* `ontology` (KnowledgeOntology): The ontology that defines the structure of the knowledge graph.
* `knowledge_sources_config_file` (str): The path to the YAML file that configures the knowledge sources.
* `disable_exa` (bool): If `True`, the knowledge base will not use Exa search for knowledge acquisition. Defaults to `False`.

### `acquire(self, query: str)`

Executes a query to acquire new knowledge from the configured sources.

<RequestExample>
  ```python theme={null}
  result = acquirer.acquire("Find the latest financial report for Apple Inc.")
  print(result)
  ```
</RequestExample>

**Parameters:**

* `query` (str): The query to guide the knowledge acquisition process.

**Returns:**

* The content of the agent's response as a string.