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These are set in Github workflows, but forgot to add them to most makefiles for convenience when developing locally. `uv run` will automatically sync the lock file. Because many of our development dependencies are local installs, it will pick up version changes and update the lock file. Passing `--frozen` or setting this environment variable disables the behavior. |
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| langchain_ollama | ||
| scripts | ||
| tests | ||
| .gitignore | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
| uv.lock | ||
langchain-ollama
This package contains the LangChain integration with Ollama
Installation
pip install -U langchain-ollama
You will also need to run the Ollama server locally. You can download it here.
Chat Models
ChatOllama class exposes chat models from Ollama.
from langchain_ollama import ChatOllama
llm = ChatOllama(model="llama3-groq-tool-use")
llm.invoke("Sing a ballad of LangChain.")
Embeddings
OllamaEmbeddings class exposes embeddings from Ollama.
from langchain_ollama import OllamaEmbeddings
embeddings = OllamaEmbeddings(model="llama3")
embeddings.embed_query("What is the meaning of life?")
LLMs
OllamaLLM class exposes LLMs from Ollama.
from langchain_ollama import OllamaLLM
llm = OllamaLLM(model="llama3")
llm.invoke("The meaning of life is")