Adding Teradata VectorStore support in DocumentStore#5159
Adding Teradata VectorStore support in DocumentStore#5159HenryHengZJ merged 11 commits intoFlowiseAI:mainfrom
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are there any screenshots for working demo or recordings? |
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@HenryHengZJ I have added the screenshots in the Pull Request Description as suggested. Thanks ! |
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can you do |
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Output for |
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@HenryHengZJ can you please help review the changes and let me know if any additional changes needed ? |
| constructor() { | ||
| this.label = 'Teradata Vector Store API Credentials' | ||
| this.name = 'teradataVectorStoreApiCredentials' | ||
| this.version = 1.0 |
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can we add description on how to get these credentials? as if user is new to teradata
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or perhaps we can create a docs page on https://github.com/FlowiseAI/FlowiseDocs and link to that
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The credentials related info is same as that mentioned in the below pull request:
#5002
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thank you! |
@HenryHengZJ The error doesn't seem to suggest that teradatasql doesn't support arm64 build. It seems to be related to missing build dependencies in the Docker container. The error The possible solution to this could be to use multi-stage build, where in "Build Stage" the build tools/dependencies can be installed for native module compilation and in "Production Stage" compiled node_modules can be copied from builder stage. Could you please check if this helps ? |
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@HenryHengZJ Hope you are doing fine. Did you get a chance to look into the build issue resolution somehow ? Please check my last comment and let me know if it can help fix build issue or am I missing something here. |
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Hi! I tested this PR locally and found a solution for the arm64 build error.
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Below are the screenshots for the working demo: