mirror of https://github.com/hwchase17/langchain
docs: update Together README.md (#18004)
## PR message **Description:** This PR adds a README file for the Together API in the `libs/partners` folder of this repository. The README includes: - A brief description of the package - Installation instructions and class introductions - Simple usage examples **Issue:** #17545 This PR only contains document changes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>pull/17938/head
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# langchain-together
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# langchain-together
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This package contains the LangChain integration for Together's generative models.
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## Installation
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```sh
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pip install -U langchain-together
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```
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## Embeddings
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You can use Together's embedding models through `TogetherEmbeddings` class.
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```py
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from langchain_together import TogetherEmbeddings
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embeddings = TogetherEmbeddings(
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model='togethercomputer/m2-bert-80M-8k-retrieval'
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)
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embeddings.embed_query("What is a large language model?")
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```
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## LLMs
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You can use Together's generative AI models as Langchain LLMs:
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```py
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from langchain_together import Together
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from langchain_core.prompts import PromptTemplate
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llm = Together(
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model="togethercomputer/RedPajama-INCITE-7B-Base",
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temperature=0.7,
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max_tokens=64,
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top_k=1,
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# together_api_key="..."
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)
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template = """Question: {question}
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Answer: """
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prompt = PromptTemplate.from_template(template)
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chain = prompt | llm
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question = "Who was the president in the year Justin Beiber was born?"
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print(chain.invoke({"question": question}))
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```
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