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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
REDIS_HOST = "localhost"
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REDIS_PORT = "6379"
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REDIS_DB = "0"
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INDEX_NAME = "wiki-index"
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VECTOR_FIELD_NAME = "content_vector"
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CHAT_MODEL = "gpt-3.5-turbo"
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EMBEDDINGS_MODEL = "text-embedding-ada-002"
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# Set up the base template
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SYSTEM_PROMPT = """You are WikiGPT, a helpful bot who has access to a database of Wikipedia data to answer questions.
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Accept the first answer that you are provided for the user.
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You have access to the following tools::
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{tools}
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Use the following format:
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Question: the input question you must answer
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Thought: you should always think about what to do
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Action: the action to take, should be one of [{tool_names}]
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Action Input: the input to the action
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Observation: the result of the action
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... (this Thought/Action/Action Input/Observation can repeat N times)
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Thought: I now know the final answer
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Final Answer: the final answer to the original input question
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Begin! Remember to give detailed, informative answers
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Previous conversation history:
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{history}
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New question: {input}
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{agent_scratchpad}"""
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# Build a prompt to provide the original query, the result and ask to summarise for the user
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RETRIEVAL_PROMPT = """Use the content to answer the search query the customer has sent. Provide the source for your answer.
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If you can't answer the user's question, say "Sorry, I am unable to answer the question with the content". Do not guess.
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Search query:
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{SEARCH_QUERY_HERE}
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Content:
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{SEARCH_CONTENT_HERE}
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Answer:
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"""
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