5caa381177
Thank you for contributing to LangChain!
- [X] *ApertureDB as vectorstore**: "community: Add ApertureDB as a
vectorestore"
- **Description:** this change provides a new community integration that
uses ApertureData's ApertureDB as a vector store.
- **Issue:** none
- **Dependencies:** depends on ApertureDB Python SDK
- **Twitter handle:** ApertureData
- [X] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.
Integration tests rely on a local run of a public docker image.
Example notebook additionally relies on a local Ollama server.
- [X] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
All lint tests pass.
Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
---------
Co-authored-by: Gautam <gautam@aperturedata.io>
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| devcontainer.json | ||
| docker-compose.yaml | ||
| README.md | ||
Dev container
This project includes a dev container, which lets you use a container as a full-featured dev environment.
You can use the dev container configuration in this folder to build and run the app without needing to install any of its tools locally! You can use it in GitHub Codespaces or the VS Code Dev Containers extension.
GitHub Codespaces
You may use the button above, or follow these steps to open this repo in a Codespace:
- Click the Code drop-down menu at the top of https://github.com/langchain-ai/langchain.
- Click on the Codespaces tab.
- Click Create codespace on master.
For more info, check out the GitHub documentation.
VS Code Dev Containers
Note: If you click the link above you will open the main repo (langchain-ai/langchain) and not your local cloned repo. This is fine if you only want to run and test the library, but if you want to contribute you can use the link below and replace with your username and cloned repo name:
https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/<yourusername>/<yourclonedreponame>
Then you will have a local cloned repo where you can contribute and then create pull requests.
If you already have VS Code and Docker installed, you can use the button above to get started. This will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use.
Alternatively you can also follow these steps to open this repo in a container using the VS Code Dev Containers extension:
-
If this is your first time using a development container, please ensure your system meets the pre-reqs (i.e. have Docker installed) in the getting started steps.
-
Open a locally cloned copy of the code:
- Fork and Clone this repository to your local filesystem.
- Press F1 and select the Dev Containers: Open Folder in Container... command.
- Select the cloned copy of this folder, wait for the container to start, and try things out!
You can learn more in the Dev Containers documentation.
Tips and tricks
- If you are working with the same repository folder in a container and Windows, you'll want consistent line endings (otherwise you may see hundreds of changes in the SCM view). The
.gitattributesfile in the root of this repo will disable line ending conversion and should prevent this. See tips and tricks for more info. - If you'd like to review the contents of the image used in this dev container, you can check it out in the devcontainers/images repo.