preparing new version

docs/concepts/knowledge.mdx

@@ -1,6 +1,6 @@
 ---
 title: Knowledge
-description: What is knowledge in CrewAI and how to use it.
+description: Understand what knowledge is in CrewAI and how to effectively use it.
 icon: book
 ---
 
@@ -8,7 +8,14 @@ icon: book
 
 ## Introduction
 
+Knowledge in CrewAI serves as a foundational component for enriching AI agents with contextual and relevant information. It enables agents to access and utilize structured data sources during their execution processes, making them more intelligent and responsive.
+
 The Knowledge class in CrewAI provides a powerful way to manage and query knowledge sources for your AI agents. This guide will show you how to implement knowledge management in your CrewAI projects.
+
+## What is Knowledge?
+
+The `Knowledge` class in CrewAI manages various sources that store information, which can be queried and retrieved by AI agents. This modular approach allows you to integrate diverse data formats such as text, PDFs, spreadsheets, and more into your AI workflows.
+
 Additionally, we have specific tools for generate knowledge sources for strings, text files, PDF's, and Spreadsheets. You can expand on any source type by extending the `KnowledgeSource` class.
 
 ## Basic Implementation
@@ -25,17 +32,14 @@ string_source = StringKnowledgeSource(
     content=content, metadata={"preference": "personal"}
 )
 
-
-llm = LLM(model="gpt-4o-mini", temperature=0)
-  # Create an agent with the knowledge store
+# Create an agent with the knowledge store
 agent = Agent(
     role="About User",
     goal="You know everything about the user.",
     backstory="""You are a master at understanding people and their preferences.""",
-    verbose=True,
-    allow_delegation=False,
-    llm=llm,
+    verbose=True
 )
+
 task = Task(
     description="Answer the following questions about the user: {question}",
     expected_output="An answer to the question.",