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- Add docs for `ZhipuAIEmbeddings`. - Using integration doc template. - Source api reference: https://bigmodel.cn/dev/api#vector --------- Co-authored-by: Erick Friis <erick@langchain.dev>
package_name
This package contains the LangChain integration with ModuleName
Installation
pip install -U __package_name__
And you should configure credentials by setting the following environment variables:
- TODO: fill this out
Chat Models
Chat__ModuleName__
class exposes chat models from ModuleName.
from __module_name__ import Chat__ModuleName__
llm = Chat__ModuleName__()
llm.invoke("Sing a ballad of LangChain.")
Embeddings
__ModuleName__Embeddings
class exposes embeddings from ModuleName.
from __module_name__ import __ModuleName__Embeddings
embeddings = __ModuleName__Embeddings()
embeddings.embed_query("What is the meaning of life?")
LLMs
__ModuleName__LLM
class exposes LLMs from ModuleName.
from __module_name__ import __ModuleName__LLM
llm = __ModuleName__LLM()
llm.invoke("The meaning of life is")