langchain/libs/partners/ollama
2024-09-13 15:48:48 -07:00
..
langchain_ollama multiple: pydantic 2 compatibility, v0.3 (#26443) 2024-09-13 14:38:45 -07:00
scripts multiple: pydantic 2 compatibility, v0.3 (#26443) 2024-09-13 14:38:45 -07:00
tests add embeddings integration tests (#25508) 2024-08-16 13:20:37 -07:00
.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 standard-tests[patch]: add Ser/Des test 2024-09-04 10:24:06 -07:00
poetry.lock partners/ollama: release 0.2.0 (#26468) 2024-09-13 15:48:48 -07:00
pyproject.toml partners/ollama: release 0.2.0 (#26468) 2024-09-13 15:48:48 -07:00
README.md ollama: init package (#23615) 2024-07-20 00:43:29 +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")