Onboard hybrid search use case; add readonly search flows for all use cases

[ohltyler]

Context

This PR adds many changes to the I/O and appearance on the drag-and-drop workspace. Note the final inputs/outputs/component types etc. are still not finalized. The purpose for adding placeholder components and updating inputs/outputs now is to iteratively improve on and make the current state of the plugin more functional and user-friendly, and to help start gathering initial feedback. Adding the existing use cases helps provide some immediate utility and testing of the corresponding backend Flow Framework plugin.

Description

This PR has 2 main changes: 1/ Onboarding a basic hybrid search use case, and 2/ providing visible, readonly flows on the DnD workspace for better overall e2e understanding from user perspective. More details:

• adds several UI drag-and-drop components for both hybrid search use case (results transformer), and for search flow visibility (several query-related blocks)
• modifies several existing components to handle inputs for both ingest and search (e.g., all transformers can now accept a document to be used on ingest, or a query to be used on search)
• adds interfaces and functionality to create search pipelines
• integrates the new use case into the prototyping components- Ingestor and QueryExecutor
• makes resource descriptions on resource list tab more robust by determining type based on step type vs. resource type - this is due to a backend limitation of both ingest and search pipelines falling under the same pipeline_id resource type
• minor refactoring of helper fns to handle more use cases
• enhances searchIndex() end-to-end flow to process an optional search_pipeline param to propagate to the cluster. this is used behind-the-scenes in the QueryExecutor when executing the searches, if the use case is of type HYBRID_SEARCH.

And some minor tweaks to the reactflow workspace:

• makes components draggable again, but still readonly
• dynamically rendering color based on if the component needs input or is just a placeholder

Demo video:

• selecting new hybrid search option
• view of the end-to-end flows for both ingest and search (note all search components are readonly currently as we hardcode the results transformer/search pipeline)
• creating and provisioning all of the resources needed for hybrid search, including a search pipeline
• executing ingest
• executing search with a hybrid query template, and using the created search pipeline behind the scenes

screen-capture.28.webm

Screenshots of search flows added for other use cases:
Semantic search:

Neural sparse search:

Issues Resolved

Makes progress on #23, #68

Check List

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