mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-07 07:08:31 +00:00
docs: add agent-specific knowledge documentation and examples (#1811)
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: Joe Moura <joao@crewai.com>
This commit is contained in:
committed by
Devin AI
parent
937338eea3
commit
465f88d754
@@ -171,6 +171,58 @@ crewai reset-memories --knowledge
|
||||
|
||||
This is useful when you've updated your knowledge sources and want to ensure that the agents are using the most recent information.
|
||||
|
||||
## Agent-Specific Knowledge
|
||||
|
||||
While knowledge can be provided at the crew level using `crew.knowledge_sources`, individual agents can also have their own knowledge sources using the `knowledge_sources` parameter:
|
||||
|
||||
```python Code
|
||||
from crewai import Agent, Task, Crew
|
||||
from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSource
|
||||
|
||||
# Create agent-specific knowledge about a product
|
||||
product_specs = StringKnowledgeSource(
|
||||
content="""The XPS 13 laptop features:
|
||||
- 13.4-inch 4K display
|
||||
- Intel Core i7 processor
|
||||
- 16GB RAM
|
||||
- 512GB SSD storage
|
||||
- 12-hour battery life""",
|
||||
metadata={"category": "product_specs"}
|
||||
)
|
||||
|
||||
# Create a support agent with product knowledge
|
||||
support_agent = Agent(
|
||||
role="Technical Support Specialist",
|
||||
goal="Provide accurate product information and support.",
|
||||
backstory="You are an expert on our laptop products and specifications.",
|
||||
knowledge_sources=[product_specs] # Agent-specific knowledge
|
||||
)
|
||||
|
||||
# Create a task that requires product knowledge
|
||||
support_task = Task(
|
||||
description="Answer this customer question: {question}",
|
||||
agent=support_agent
|
||||
)
|
||||
|
||||
# Create and run the crew
|
||||
crew = Crew(
|
||||
agents=[support_agent],
|
||||
tasks=[support_task]
|
||||
)
|
||||
|
||||
# Get answer about the laptop's specifications
|
||||
result = crew.kickoff(
|
||||
inputs={"question": "What is the storage capacity of the XPS 13?"}
|
||||
)
|
||||
```
|
||||
|
||||
<Info>
|
||||
Benefits of agent-specific knowledge:
|
||||
- Give agents specialized information for their roles
|
||||
- Maintain separation of concerns between agents
|
||||
- Combine with crew-level knowledge for layered information access
|
||||
</Info>
|
||||
|
||||
## Custom Knowledge Sources
|
||||
|
||||
CrewAI allows you to create custom knowledge sources for any type of data by extending the `BaseKnowledgeSource` class. Let's create a practical example that fetches and processes space news articles.
|
||||
|
||||
Reference in New Issue
Block a user