feat: added elastic search vector

[cdhandar]

Description

Feature added Elastic Search Vector
Reordered the display of Vector Databases in alphabetical order

Changes Made

Added JSON Object for Elastic Search in import.constants.ts

How to Test

1.Login
2.Go to Vector
3.Click on Elastic Search
4.Fill out the necessary fields
5.Click on Submit

Notes

While filling the fields make sure you provide either of the two combination API key and ID or Username and Password as it is required for Authentication.

[github-actions]

@CodiumAI-Agent /describe

[QodoAI-Agent]

Title

feat: added elastic search vector

---

User description

Description

Feature added Elastic Search Vector
Reordered the display of Vector Databases in alphabetical order

Changes Made

Added JSON Object for Elastic Search in import.constants.ts

How to Test

1.Login
2.Go to Vector
3.Click on Elastic Search
4.Fill out the necessary fields
5.Click on Submit

Notes

While filling the fields make sure you provide either of the two combination API key and ID or Username and Password as it is required for Authentication.

---

PR Type

• Enhancement

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Description

• Add Elastic Search vector connector fields

• Update FAISS and PGVector field definitions

• Refactor Open Search and Pinecone settings

• Improve configuration validation rules

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Changes walkthrough 📝

	Relevant files
Enhancement	import.constants.ts Major update to connectors configuration                                  packages/client/src/pages/import/import.constants.ts Renamed FAISS to Elastic Search; updated icon and defaults Revised field configurations and validation rules Adjusted PGVector, FAISS, Open Search, and Pinecone settings Reordered and streamlined connector definitions +684/-383

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Need help?

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[github-actions]

@CodiumAI-Agent /review

[github-actions]

@CodiumAI-Agent /improve

[QodoAI-Agent]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 5 🔵🔵🔵🔵🔵

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Data Type Consistency Several numeric fields (for example, embedding dimension size, EF Construction, and M Value) are defined with string literal default values. Please verify that these fields use the proper numeric types to avoid potential runtime issues. { fieldName: 'DIMENSION_SIZE', label: 'Embedding Dimension Size', defaultValue: '1024', options: { component: 'number', }, disabled: false, rules: { required: true, min: 0 }, Duplicate Definition The field "RETAIN_EXTRACTED_TEXT" appears in multiple connection option blocks. Consider consolidating its definition or standardizing its placement to reduce redundancy and possible confusion. }, { fieldName: 'RETAIN_EXTRACTED_TEXT', label: 'Retain Extracted Text', defaultValue: 'false', options: { component: 'select', options: [ { display: 'False', value: 'false', }, { display: 'True', value: 'true', }, ], }, disabled: false, rules: { required: false }, advanced: true, }, Validation Consistency Several new fields (such as API Key, Host Name, and Username) lack consistent helper texts or clear validation messages. Consider adding explanatory helper texts and ensuring that validation rules are uniformly applied for a better user experience. { fieldName: 'HOSTNAME', label: 'Host Name', defaultValue: '', options: { component: 'text-field', }, disabled: false, rules: { required: true }, }, {

[QodoAI-Agent]

PR Code Suggestions ✨

Category	Suggestion	Impact
Possible issue	Use numeric defaults Replace empty-string defaults with numeric values for number components. packages/client/src/pages/import/import.constants.ts [7822-7832] { fieldName: 'FETCH_SIZE', label: 'Fetch Size', - defaultValue: '', + defaultValue: 0, rules: { required: false, min: 0 }, options: { component: 'number', }, disabled: false, advanced: true, } Suggestion importance[1-10]: 7 __ Why: The suggestion addresses a potential type mismatch by changing the default value from an empty string to a number for a number component, which improves correctness and robustness.	Medium

[github-actions]

@CodiumAI-Agent /update_changelog

[QodoAI-Agent]

Changelog updates: 🔄

2025-03-27

• Added Elastic Search vector support.
• Reordered vector database options alphabetically.

to commit the new content to the CHANGELOG.md file, please type:
'/update_changelog --pr_update_changelog.push_changelog_changes=true'