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This can only be reviewed by [hiding whitespaces](https://github.com/langchain-ai/langchain/pull/30302/files?diff=unified&w=1). The motivation behind this PR is to get my hands on the docs and make the LangSmith teasing short and clear. Right now I don't know how to do it, but this could be an include in the future. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> |
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| .. | ||
| docs | ||
| integration_template | ||
| scripts | ||
| tests | ||
| .gitignore | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
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")