2023-05-04 18:37:00 +00:00
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version: '3'
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services:
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langchain:
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build:
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2023-07-21 16:20:24 +00:00
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dockerfile: libs/langchain/dev.Dockerfile
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2023-06-16 22:42:14 +00:00
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context: ..
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2023-05-04 18:37:00 +00:00
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volumes:
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community[minor]: Add ApertureDB as a vectorstore (#24088)
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>
2024-07-16 16:32:59 +00:00
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# Update this to wherever you want VS Code to mount the folder of your project
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2024-05-01 05:32:12 +00:00
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- ..:/workspaces/langchain:cached
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2023-05-04 18:37:00 +00:00
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networks:
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community[minor]: Add ApertureDB as a vectorstore (#24088)
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>
2024-07-16 16:32:59 +00:00
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- langchain-network
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2023-05-04 18:37:00 +00:00
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# environment:
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# MONGO_ROOT_USERNAME: root
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# MONGO_ROOT_PASSWORD: example123
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# depends_on:
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# - mongo
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# mongo:
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# image: mongo
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# restart: unless-stopped
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# environment:
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# MONGO_INITDB_ROOT_USERNAME: root
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# MONGO_INITDB_ROOT_PASSWORD: example123
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# ports:
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# - "27017:27017"
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# networks:
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# - langchain-network
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networks:
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langchain-network:
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driver: bridge
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