mirror of
https://github.com/hwchase17/langchain
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- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
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| .. | ||
| langchain_upstage | ||
| scripts | ||
| tests | ||
| .gitignore | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
langchain-upstage
This package contains the LangChain integrations for Upstage through their APIs.
Installation and Setup
- Install the LangChain partner package
pip install -U langchain-upstage
- Get an Upstage api key from Upstage Console and set it as an environment variable (
UPSTAGE_API_KEY)
Chat Models
This package contains the ChatUpstage class, which is the recommended way to interface with Upstage models.
See a usage example
Embeddings
See a usage example
Use solar-1-mini-embedding as the default model for embeddings. Do not add suffixes such as -query or -passage to the model name.
UpstageEmbeddings will automatically add the suffixes based on the method called.