langchain/libs/partners/ollama
Lance Martin 46d6bf0330
ollama[minor]: update default method for structured output (#30273)
From function calling to Ollama's [dedicated structured output
feature](https://ollama.com/blog/structured-outputs).

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-18 12:44:22 -04:00
..
langchain_ollama ollama[minor]: update default method for structured output (#30273) 2025-03-18 12:44:22 -04:00
scripts ollama: add pydocstyle linting for ollama (#27686) 2024-10-31 03:06:55 +00:00
tests ollama[minor]: update default method for structured output (#30273) 2025-03-18 12:44:22 -04:00
.gitignore
LICENSE
Makefile infra: add UV_FROZEN to makefiles (#29642) 2025-02-06 14:36:54 -05:00
pyproject.toml ollama[minor]: update default method for structured output (#30273) 2025-03-18 12:44:22 -04:00
README.md
uv.lock ollama[minor]: update default method for structured output (#30273) 2025-03-18 12:44:22 -04:00

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")