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chore(deps): Bump numpy Bumps [numpy](https://github.com/numpy/numpy) from 2.1.1 to 2.1.2. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](https://github.com/numpy/numpy/compare/v2.1.1...v2.1.2) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
langchain
Example of using langchain, with the standard OpenAI llm module, and LocalAI. Has docker compose profiles for both the Typescript and Python versions.
Please Note - This is a tech demo example at this time. ggml-gpt4all-j has pretty terrible results for most langchain applications with the settings used in this example.
Setup
# Clone LocalAI
git clone https://github.com/go-skynet/LocalAI
cd LocalAI/examples/langchain
# (optional) - Edit the example code in typescript.
# vi ./langchainjs-localai-example/index.ts
# Download gpt4all-j to models/
wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
# start with docker-compose for typescript!
docker-compose --profile ts up --build
# or start with docker-compose for python!
docker-compose --profile py up --build
Copyright
Some of the example code in index.mts and full_demo.py is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.