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Currently, our backend only searches through the Azure index. We can also search in our PostgreSQL database and look up static files. To better evaluate these options, we should setup different endpoints for each search type. This is a temporary measure for testing, as we plan to eventually choose and stick with one main search source.
Task
Create a unique endpoint in our backend for each search type: one for Azure, one for PostgreSQL, and one for static files. By doing this, we can easily test each method by simply using the relevant endpoint.
Acceptance Criteria
Separate, working endpoints for Azure, PostgreSQL, and static files.
Each endpoint returns accurate search results.
Frontend can switch between these endpoints without any hassle.
Provide clear guidelines on using each endpoint.
Conduct tests to ensure each endpoint functions correctly.
It’s important to note that this multi-endpoint setup is for testing purposes only. Once we evaluate the performance and effectiveness of each source, we'll decide on the best one to use long-term for our backend searches.
The text was updated successfully, but these errors were encountered:
Currently, our backend only searches through the Azure index. We can also search in our PostgreSQL database and look up static files. To better evaluate these options, we should setup different endpoints for each search type. This is a temporary measure for testing, as we plan to eventually choose and stick with one main search source.
Task
Create a unique endpoint in our backend for each search type: one for Azure, one for PostgreSQL, and one for static files. By doing this, we can easily test each method by simply using the relevant endpoint.
Acceptance Criteria
It’s important to note that this multi-endpoint setup is for testing purposes only. Once we evaluate the performance and effectiveness of each source, we'll decide on the best one to use long-term for our backend searches.
The text was updated successfully, but these errors were encountered: