clearer docs

docs/concepts/knowledge.mdx

@@ -47,46 +47,12 @@ crew = Crew(
     tasks=[task],
     verbose=True,
     process=Process.sequential,
-    knowledge={"sources": [string_source], "metadata": {"preference": "personal"}}, # Enable knowledge by adding the sources here
+    knowledge={"sources": [string_source], "metadata": {"preference": "personal"}}, # Enable knowledge by adding the sources here. You can also add more sources to the sources list.
 )
 
 result = crew.kickoff(inputs={"question": "What city does John live in and how old is he?"})
 ```
 
-## Additionally:
-You can add more sources as well as not need to re-declare the knowledge store every kickoff.
-If you had sources from previous runs, you no longer need to declare the knowledge store.
-
-```python
-from crewai import Agent, Task, Crew, Process, LLM
-
-# Create a knowledge store with a list of sources and metadata
-llm = LLM(model="gpt-4o-mini", temperature=0)
-  # 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,
-)
-task = Task(
-    description="Answer the following questions about the user: {question}",
-    expected_output="An answer to the question.",
-    agent=agent,
-)
-
-crew = Crew(
-    agents=[agent],
-    tasks=[task],
-    verbose=True,
-    process=Process.sequential,
-    knowledge={"sources": [string_source], "metadata": {"preference": "personal"}}, # Enable knowledge by adding the sources here
-)
-
-result = crew.kickoff(inputs={"question": "What city does John live in and how old is he?"})
-```
 
 ## Embedder Configuration