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26 lines
887 B
Plaintext
26 lines
887 B
Plaintext
```python
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from langchain.chains import ConversationChain
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from langchain.memory import ConversationBufferMemory
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conversation = ConversationChain(
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llm=chat,
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memory=ConversationBufferMemory()
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)
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conversation.run("Answer briefly. What are the first 3 colors of a rainbow?")
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# -> The first three colors of a rainbow are red, orange, and yellow.
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conversation.run("And the next 4?")
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# -> The next four colors of a rainbow are green, blue, indigo, and violet.
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```
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<CodeOutputBlock lang="python">
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```
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'The next four colors of a rainbow are green, blue, indigo, and violet.'
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```
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</CodeOutputBlock>
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Essentially, `BaseMemory` defines an interface of how `langchain` stores memory. It allows reading of stored data through `load_memory_variables` method and storing new data through `save_context` method. You can learn more about it in the [Memory](/docs/modules/memory/) section.
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