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The “pkgmatch” package works through a locally installed and running instance of ollama (for reasons described in the vignette("why-local-lms")). In order to use “pkgmatch”, ollama needs to be installed, and be running. This vignette describes how to do that. There are two distinct ways, each described in a separate sub-section. You will generally need to follow one and only one of these sections.

Local ollama API endpoint

Regardless of which method you use to install and run ollama, the “pkgmatch” package presumes by default that the local ollama instance has an API endpoint at “127.0.0.1:11434”. If this is not the case, alternative endpoints can be set using the ollama_set_url() function or by setting the environment variable OLLAMA_HOST before pkgmatch is loaded.

Local installation

This sub-section describes how to install and run ollama on your local computer. This may not be possible for everybody, in which case the following sub-section describes how to run ollama within a docker container.

General download instructions are given at https://ollama.com/download. Once downloaded, ollama can be started by calling ollama serve &, where the final & starts the process in the background. Alternatively, omit the & to run as a foreground process. You can then interact with that process elsewhere (for example in a different terminal shell), and you’ll see full logs in the original shell.

Once ollama is running with ollama serve, the particular models used here will be automatically downloaded by this package when needed. Alternatively, you can do this manually before using the package for the first time by running the following two commands (in a system console; not in R):

ollama pull jina/jina-embeddings-v2-base-en
ollama pull ordis/jina-embeddings-v2-base-code

You’ll likely need to wait a few tens of minutes for the models to download before proceeding. Once downloaded, you should be able to run ollama list, and see both models appear in the output.

Docker

If you do not or can not install ollama on your local machine, you can build a Docker container to download and run ollama. For this, you will need to have Docker installed. (Docker is not required for the local installation procedure described above; only for this alternative procedure.)

This package comes with a “Dockerfile” containing all code needed to build and run the necessary ollama models within a Docker container. This can be either built locally, or downloaded from the GitHub container registry.

Building the Docker container locally

To build the container locally, download the Dockerfile from this link. Then from the same directory as that file, run these lines:

docker build . -t pkgmatch-ollama

Downloading the pre-build Docker container

Alternatively, the Docker container including the ollama models used to run this package is stored in the GitHub container registry, and can be downloaded by running this line:

docker pull ghcr.io/ropensci-review-tools/pkgmatch-ollama:latest

Running the Docker container

Whether you’ve locally built the Docker container, or downloaded the pre-built version, the container needs to be started with the following command:

docker run --rm -d -p 11434:11434 ollama-models

The running container can be stopped by calling docker stop followed the the “CONTAINER ID” listed on the output of docker ps.