Add Zoom as a knowledge accessor to your Amazon Q index

For a lot of organizations, huge quantities of enterprise data are scattered throughout numerous knowledge sources and functions. Organizations throughout industries search to make use of this cross-application enterprise knowledge from inside their most well-liked methods whereas adhering to their established safety and governance requirements.

This submit demonstrates how Zoom customers can entry their Amazon Q Enterprise enterprise knowledge immediately inside their Zoom interface, assuaging the necessity to change between functions whereas sustaining enterprise safety boundaries. Organizations can now configure Zoom as a knowledge accessor in Amazon Q Enterprise, enabling seamless integration between their Amazon Q index and Zoom AI Companion. This integration permits customers to entry their enterprise data in a managed method immediately throughout the Zoom platform.

How Amazon Q Enterprise and Zoom AI Companion work collectively

The Amazon Q Enterprise knowledge accessor is a core element inside Amazon Q Enterprise. It manages and controls entry to knowledge saved in an enterprise’s inside data repositories on Amazon Q Enterprise from an exterior unbiased software program vendor (ISV) comparable to Zoom whereas sustaining safety and knowledge entry compliance. This function permits Zoom to retrieve related content material, enhancing the Zoom AI Companion’s data. It serves as an middleman that enforces entry management lists (ACLs), defining each knowledge supply permissions and consumer entry rights to the present Amazon Q Enterprise index.

Zoom AI Companion, the inspiration of Zoom’s AI-first work platform, enhances human connection by working behind the scenes to spice up productiveness, enhance work high quality, and strengthen relationships. This April, Zoom launched the Customized AI Companion add-on, enabling organizations to customise AI brokers and abilities to assist meet their particular wants and drive company-wide effectivity. By means of its partnership with Amazon Q Enterprise, prospects can now join their listed knowledge in Amazon Q index to Zoom AI Companion, offering enhanced data and contextual insights.

As an Amazon Q Enterprise knowledge accessor, Zoom AI Companion can work together with the enterprise Amazon Q index in a managed means, enriching content material past what’s accessible in Zoom alone. Enterprise customers can retrieve contextual info from their Amazon Q index’s a number of linked knowledge sources immediately inside Zoom, with outcomes seamlessly offered by means of Zoom AI Companion. Zoom AI Companion can entry Amazon Q index knowledge with its native knowledge sources, comparable to earlier name transcripts, to shortly floor related info to customers. This integration alleviates the necessity to manually change between varied enterprise methods like Google Drive, Confluence, Salesforce, and extra, saving time and lowering workflow disruptions.

For instance, whereas getting ready for a Zoom name, customers can shortly discover solutions to questions like “When is buyer AnyCustomer’s contract up for renewal, and who signed the final one?” The Amazon Q index processes these queries and delivers outcomes by means of Zoom AI Companion in actual time.

Resolution overview

The next diagram is a high-level structure that explains how enterprises can arrange and entry Amazon Q Enterprise listed knowledge from throughout the Zoom AI Companion utility.

Within the following sections, we reveal find out how to configure Zoom as a knowledge accessor and get began utilizing Zoom AI Companion.

Stipulations

To implement this resolution, you want an AWS account with acceptable permissions.

Create an Amazon Q Enterprise utility

To entry listed knowledge from Amazon Q Enterprise by means of Zoom AI Companion, organizations should first arrange their Amazon Q Enterprise utility. The applying should be configured with AWS IAM Id Middle to allow the Zoom knowledge accessor performance. For detailed steerage on creating an Amazon Q Enterprise utility, check with Configure utility.

Configure entry management with IAM Id Middle

By means of IAM Id Middle, Amazon Q Enterprise makes use of trusted identification propagation to offer correct authentication and fine-grained authorization primarily based on consumer ID and group-based assets, ensuring entry to delicate knowledge is tightly managed and doc ACLs are enforced. The ISV is just permitted to entry this index utilizing the assigned knowledge accessor.

Should you’re utilizing an identification supplier (IdP) comparable to Okta, CyberArk, or others, you’ll be able to add the IdP to IAM Id Middle as a trusted token issuer. For added info, see Configure Amazon Q Enterprise with AWS IAM Id Middle trusted identification propagation.

For extra info on IAM Id Middle, check with IAM Id Middle identification supply tutorials.

Add Zoom as a knowledge accessor

After creating an Amazon Q Enterprise utility with IAM Id Middle, directors can configure Zoom as a knowledge accessor by means of the Amazon Q Enterprise console. Full the next steps:

1.  On the Amazon Q Enterprise console, select Information accessors within the navigation pane.
   
2. Select Add knowledge accessor.
   
3. Select Zoom as your knowledge accessor.
4. For Accessor title, enter a reputation to your knowledge accessor.
5. For Information supply entry, configure your stage of entry.

You’ll be able to choose particular knowledge sources to be accessible by means of the info accessor. This lets you management which content material is surfaced within the ISV atmosphere. You should utilize Amazon Q Enterprise pre-built connectors to synchronize content material from varied methods. For extra info, check with Supported connectors.

6. For Consumer entry, specify which customers can entry the Amazon Q index by means of the info accessor.

This feature lets you configure granular permissions for knowledge accessor accessibility and handle organizational entry controls.

For extra details about knowledge entry, check with Accessing a buyer’s Amazon Q index as a knowledge accessor utilizing cross-account entry.

Directors can modify knowledge accessor settings at any time after implementation. You’ll be able to alter consumer entry permissions, replace accessible knowledge sources, and alter the scope of accessibility. To revoke entry, full the next steps:

7. On the Amazon Q Enterprise console, select Information accessors within the navigation pane.
8. Find the accessor you need to delete and select Delete.
9. Affirm the deletion when prompted.

Eradicating a knowledge accessor from a knowledge supply instantly cancels the ISV’s entry to your group’s Amazon Q index.

Configure Amazon Q for Zoom AI Companion

To start out utilizing Zoom as a knowledge accessor to your Amazon Q Enterprise index, the next info out of your enterprise Amazon Q Enterprise utility should be shared with Zoom:

• Amazon Q Enterprise utility ID
• Amazon Q Enterprise AWS Area
• Amazon Q Enterprise retriever ID
• Information accessor utility Amazon Useful resource Title (ARN)
• IAM Id Middle occasion Area

For extra info, check with Accessing a buyer’s Amazon Q index as a knowledge accessor utilizing cross-account entry.

After you add Zoom as a knowledge accessor, a pop-up window will seem on the Amazon Q Enterprise console. This pop-up accommodates the required parameters, as proven within the following screenshot.

Navigate to the Zoom App Market to configure Amazon Q in Zoom, and enter the data you collected.

After you submit this info, you’re able to entry Amazon Q index knowledge from Zoom AI Companion.

With AI Companion linked to Amazon Q index, you might have the data you want immediately. For instance, you can make AI Companion conscious of your group’s IT troubleshooting guides so workers might shortly get assist with questions like “How do I repair a damaged keyboard?”

Utilizing the SearchRelevantContent API

When an enterprise buyer with an Amazon Q index permits a knowledge accessor, it permits authenticated Amazon Q Enterprise customers to look and retrieve related content material in actual time whereas utilizing exterior ISV platforms (like Zoom). This performance is achieved by means of the ISV calling the Amazon Q index SearchRelevantContent API as an exterior knowledge accessor throughout accounts. The SearchRelevantContent API is particularly designed to return search outcomes from the Amazon Q index, which could be additional enhanced by the ISV’s generative AI stack. Through the use of the Amazon Q index SearchRelevantContent API, Zoom and different ISVs can combine question outcomes immediately into their atmosphere.

The SearchRelevantContent API is an identity-aware API, which suggests it operates with data of the consumer’s identification and related info (comparable to electronic mail and group membership) by means of the credentials used to name the API. This identification consciousness is a prerequisite for utilizing the API. When querying the index, it reconciles doc entry controls towards the authenticated consumer’s permissions. Consequently, customers can solely retrieve outcomes from content material they’re approved to entry.

When an ISV calls the SearchRelevantContent API as a knowledge accessor, each sparse and dense searches are utilized to the Amazon Q index, combining key phrase search and vector embedding proximity. Outcomes are ranked earlier than being returned to the ISV interface.

For instance, in case you ask in Zoom, “What’s Firm XYZ’s engagement on the most cancers moonshot mission?”, Zoom AI Companion triggers a name to the SearchRelevantContent API as a knowledge accessor.

For a extra complete code instance, see the pocket book in Module 2 – Amazon Q cross-app index.

The next is a code snippet in Python exhibiting what that search request would possibly appear like:

search_params = {  'applicationId': Q_BIZ_APP_ID, 
    'contentSource': {
        'retriever': { 
            'retrieverId': Q_RETRIEVER_ID 
            }
    }, 
    'queryText': 'What's Firm XYZ engagement on the most cancers moonshot mission?', 
    'maxResults': 10
}

search_response = qbiz.search_relevant_content(**search_params)

The search response will comprise an array of outcomes with related chunks of textual content, together with supply info, doc attributes, and confidence scores. The next is a snippet from the SearchRelevantContent API response. That is an instance of outcomes you would possibly see from the net crawler knowledge connector used with Amazon Q Enterprise.

[
    {
        "content": "nSeveral initiatives have been launched or will soon launch to address the goals of this next phase, including:nIncluding more people in expanded and modernized cancer clinical trialsnIncreasing the pipeline of new cancer drugsnEnsuring access to current and new standards of cancer carenEnhancing diversity in the cancer research workforce",
        "documentId": "Cancermoonshot",
        "documentTitle": "About The Cancer Moonshot",
        "documentUri": "https://companyxyz/cancermoonshot.html",
        "documentAttributes": [
            {
                "name": "_source_uri",
                "value": {
                    "stringValue": "https://companyxyz.com/cancermoonshot.html"
                }
            }
        ],
        "scoreAttributes": {
            "scoreConfidence": "VERY_HIGH"
        }
    },...]

The SearchRelevantContent API has a wealthy set of elective parameters accessible that ISVs can select to make use of. For instance, doc attributes can be utilized as filters. If paperwork with meta attributes have been listed, and considered one of these attributes accommodates the writer, it will be doable for an ISV to use a filter the place you’ll be able to specify an writer title. Within the following instance, outcomes returned are constrained to solely paperwork which have the desired attribute writer title “John Smith.”

search_params = {
    'applicationId': Q_BIZ_APP_ID,
    'contentSource': {
        'retriever': {
            'retrieverId': Q_RETRIEVER_ID
            }
    },
    'queryText': myQuestion,
    'maxResults': 5,
    'attributeFilter': {
        'equalsTo': {
            'title': 'Creator',
            'worth': {
                'stringValue': 'John Smith'
            }
        }
    }
}

For a extra complete reference on what is offered within the SearchRelevantContent API request object, check with search_relevant_content.

Clear up

If you’re carried out utilizing this resolution, clear up the assets you created.

1. Delete the Zoom knowledge accessor from the Information accessors console. Deleting this knowledge accessor will delete permissions and entry to the info accessor for all customers.
2. Delete the Amazon Q Enterprise utility that you just created as a prerequisite.
   • Navigate to the Amazon Q Enterprise console.
   • Select Purposes on the left menu.
   • Choose the appliance you created.
   • Select Delete from below Actions to delete the appliance.

Deleting the Amazon Q Enterprise utility will take away the related index and knowledge supply connectors, and forestall incurring further prices.

Conclusion

Amazon Q indexes affords a transformative strategy to office effectivity. By making a centralized, safe repository to your group’s knowledge, you’ll be able to seamlessly combine important info along with your on a regular basis productiveness instruments like Zoom AI Companion.

On this submit, we explored how Amazon Q Enterprise enterprise customers can add knowledge accessors to combine with exterior events like Zoom AI Companion, permitting customers to entry their enterprise data in a managed means immediately from inside these platforms.

Able to supercharge your workforce’s productiveness? Begin your Amazon Q Work trip at present alongside Zoom. To be taught extra about Amazon Q Enterprise knowledge accessors, see Improve enterprise productiveness to your LLM resolution by changing into an Amazon Q Enterprise knowledge accessor.

Concerning the authors

David Girling is a Senior AI/ML Options Architect with over 20 years of expertise in designing, main, and growing enterprise methods. David is a part of a specialist staff that focuses on serving to prospects be taught, innovate, and make the most of these extremely succesful companies with their knowledge for his or her use instances.

Chinmayee Rane is a Generative AI Specialist Options Architect at AWS, with a core concentrate on generative AI. She helps Unbiased Software program Distributors (ISVs) speed up the adoption of generative AI by designing scalable and impactful options. With a powerful background in utilized arithmetic and machine studying, she focuses on clever doc processing and AI-driven innovation. Outdoors of labor, she enjoys salsa and bachata dancing.

Sonali Sahu is main the Generative AI Specialist Options Structure staff in AWS. She is an writer, thought chief, and passionate technologist. Her core space of focus is AI and ML, and she or he ceaselessly speaks at AI and ML conferences and meetups world wide. She has each breadth and depth of expertise in know-how and the know-how business, with business experience in healthcare, the monetary sector, and insurance coverage.