verbose=True,             callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]))from langchain import hubQA_CHAIN_PROMPT = hub.pull("rlm/rag-prompt-mistral")# QA chainfrom langchain.chains import RetrievalQAqa_chain = RetrievalQA.from_chain_type(    llm,    retriever=vectorstore.as_retriever(),    chain_type_kwargs={"prompt": QA_CHAIN_PROMPT},)question = "What are the various approaches to Task Decomposition for AI Agents?"result = qa_chain({"query": question})        There are different approaches to Task Decomposition for AI Agents such as Chain of thought (CoT) and Tree of Thoughts (ToT). CoT breaks down big tasks into multiple manageable tasks and generates multiple thoughts per step, while ToT explores multiple reasoning possibilities at each step. Task decomposition can be done by LLM with simple prompting or using task-specific instructions or human inputs.PreviousOctoAINextOpaquePromptsSetupUsageRAGUsing the Hub for prompt managementCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Ollama allows you to run open-source large language models, such as Llama 2, locally.
Ollama allows you to run open-source large language models, such as Llama 2, locally. ->: verbose=True,             callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]))from langchain import hubQA_CHAIN_PROMPT = hub.pull("rlm/rag-prompt-mistral")# QA chainfrom langchain.chains import RetrievalQAqa_chain = RetrievalQA.from_chain_type(    llm,    retriever=vectorstore.as_retriever(),    chain_type_kwargs={"prompt": QA_CHAIN_PROMPT},)question = "What are the various approaches to Task Decomposition for AI Agents?"result = qa_chain({"query": question})        There are different approaches to Task Decomposition for AI Agents such as Chain of thought (CoT) and Tree of Thoughts (ToT). CoT breaks down big tasks into multiple manageable tasks and generates multiple thoughts per step, while ToT explores multiple reasoning possibilities at each step. Task decomposition can be done by LLM with simple prompting or using task-specific instructions or human inputs.PreviousOctoAINextOpaquePromptsSetupUsageRAGUsing the Hub for prompt managementCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.