langchain/libs/partners/ollama
2025-02-18 17:45:44 -08:00
..
langchain_ollama core: basemessage.text() (#29078) 2025-02-18 17:45:44 -08:00
scripts ollama: add pydocstyle linting for ollama (#27686) 2024-10-31 03:06:55 +00:00
tests multiple: structured output tracing standard metadata (#29421) 2025-01-29 14:00:26 -08:00
.gitignore ollama: init package (#23615) 2024-07-20 00:43:29 +00:00
LICENSE ollama: init package (#23615) 2024-07-20 00:43:29 +00:00
Makefile infra: add UV_FROZEN to makefiles (#29642) 2025-02-06 14:36:54 -05:00
pyproject.toml multiple: fix uv path deps (#29790) 2025-02-13 21:32:34 +00:00
README.md ollama: init package (#23615) 2024-07-20 00:43:29 +00:00
uv.lock multiple: fix uv path deps (#29790) 2025-02-13 21:32:34 +00:00

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")