for Flake8 when used (1) without or with a small number of plugins, (2) alongside Black, and (3) on Python 3 code. It also re-implements some of the most popular Flake8 plugins and related code quality tools natively, including isort, yesqa, eradicate, and most of the rules implemented in pyupgrade. Ruff also supports automatically fixing its own lint violations, which Flake8 does not.        > Finished chain.    'Ruff can be used as a drop-in replacement for Flake8 when used (1) without or with a small number of plugins, (2) alongside Black, and (3) on Python 3 code. It also re-implements some of the most popular Flake8 plugins and related code quality tools natively, including isort, yesqa, eradicate, and most of the rules implemented in pyupgrade. Ruff also supports automatically fixing its own lint violations, which Flake8 does not.'Use the Agent solely as a router‚ÄãYou can also set return_direct=True if you intend to use the agent as a router and just want to directly return the result of the RetrievalQAChain.Notice that in the above examples the agent did some extra work after querying the RetrievalQAChain. You can avoid that and just return the result directly.tools = [    Tool(        name="State of Union QA System",        func=state_of_union.run,        description="useful for when you need to answer questions about the most recent state of the union address. Input should be a fully formed question.",        return_direct=True,    ),    Tool(        name="Ruff QA System",        func=ruff.run,        description="useful for when you need to answer questions about ruff (a python linter). Input should be a fully formed question.",        return_direct=True,    ),]agent = initialize_agent(    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)agent.run(    "What did biden say about ketanji brown jackson in the state of the union address?")            > Entering new AgentExecutor chain...     I need to find out what Biden said about
This notebook covers how to combine agents and vector stores. The use case for this is that you've ingested your data into a vector store and want to interact with it in an agentic manner.
This notebook covers how to combine agents and vector stores. The use case for this is that you've ingested your data into a vector store and want to interact with it in an agentic manner. ->: for Flake8 when used (1) without or with a small number of plugins, (2) alongside Black, and (3) on Python 3 code. It also re-implements some of the most popular Flake8 plugins and related code quality tools natively, including isort, yesqa, eradicate, and most of the rules implemented in pyupgrade. Ruff also supports automatically fixing its own lint violations, which Flake8 does not.        > Finished chain.    'Ruff can be used as a drop-in replacement for Flake8 when used (1) without or with a small number of plugins, (2) alongside Black, and (3) on Python 3 code. It also re-implements some of the most popular Flake8 plugins and related code quality tools natively, including isort, yesqa, eradicate, and most of the rules implemented in pyupgrade. Ruff also supports automatically fixing its own lint violations, which Flake8 does not.'Use the Agent solely as a router‚ÄãYou can also set return_direct=True if you intend to use the agent as a router and just want to directly return the result of the RetrievalQAChain.Notice that in the above examples the agent did some extra work after querying the RetrievalQAChain. You can avoid that and just return the result directly.tools = [    Tool(        name="State of Union QA System",        func=state_of_union.run,        description="useful for when you need to answer questions about the most recent state of the union address. Input should be a fully formed question.",        return_direct=True,    ),    Tool(        name="Ruff QA System",        func=ruff.run,        description="useful for when you need to answer questions about ruff (a python linter). Input should be a fully formed question.",        return_direct=True,    ),]agent = initialize_agent(    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)agent.run(    "What did biden say about ketanji brown jackson in the state of the union address?")            > Entering new AgentExecutor chain...     I need to find out what Biden said about