Add Zoom as a knowledge accessor to your Amazon Q index

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

This put up demonstrates how Zoom customers can entry their Amazon Q Enterprise enterprise knowledge instantly inside their Zoom interface, assuaging the necessity to change between purposes 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 information in a managed method instantly throughout the Zoom platform.

How Amazon Q Enterprise and Zoom AI Companion work collectively

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

Zoom AI Companion, the muse 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 expertise to assist meet their particular wants and drive company-wide effectivity. By its partnership with Amazon Q Enterprise, prospects can now join their listed knowledge in Amazon Q index to Zoom AI Companion, offering enhanced information 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 manner, enriching content material past what’s accessible in Zoom alone. Enterprise customers can retrieve contextual data from their Amazon Q index’s a number of linked knowledge sources instantly inside Zoom, with outcomes seamlessly introduced by means of Zoom AI Companion. Zoom AI Companion can entry Amazon Q index knowledge with its native knowledge sources, corresponding to earlier name transcripts, to shortly floor related data to customers. This integration alleviates the necessity to manually change between numerous enterprise programs 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.

Answer 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 software.

Within the following sections, we display how you can configure Zoom as a knowledge accessor and get began utilizing Zoom AI Companion.

Conditions

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

Create an Amazon Q Enterprise software

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

Configure entry management with IAM Identification Heart

By IAM Identification Heart, Amazon Q Enterprise makes use of trusted id propagation to supply correct authentication and fine-grained authorization based mostly on consumer ID and group-based assets, ensuring entry to delicate knowledge is tightly managed and doc ACLs are enforced. The ISV is barely permitted to entry this index utilizing the assigned knowledge accessor.

If you happen to’re utilizing an id supplier (IdP) corresponding to Okta, CyberArk, or others, you possibly can add the IdP to IAM Identification Heart as a trusted token issuer. For added data, see Configure Amazon Q Enterprise with AWS IAM Identification Heart trusted id propagation.

For extra data on IAM Identification Heart, seek advice from IAM Identification Heart id supply tutorials.

Add Zoom as a knowledge accessor

After creating an Amazon Q Enterprise software with IAM Identification Heart, 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 Knowledge accessors within the navigation pane.
   
2. Select Add knowledge accessor.
   
3. Select Zoom as your knowledge accessor.
4. For Accessor title, enter a reputation in your knowledge accessor.
5. For Knowledge supply entry, configure your degree 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 setting. You should utilize Amazon Q Enterprise pre-built connectors to synchronize content material from numerous programs. For extra data, seek advice from Supported connectors.

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

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

For extra details about knowledge entry, seek advice from 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 modify 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 Knowledge accessors within the navigation pane.
8. Find the accessor you wish 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 in your Amazon Q Enterprise index, the next data out of your enterprise Amazon Q Enterprise software have to be shared with Zoom:

• Amazon Q Enterprise software ID
• Amazon Q Enterprise AWS Area
• Amazon Q Enterprise retriever ID
• Knowledge accessor software Amazon Useful resource Title (ARN)
• IAM Identification Heart occasion Area

For extra data, seek advice from 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 comprises 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 data, you’re able to entry Amazon Q index knowledge from Zoom AI Companion.

With AI Companion linked to Amazon Q index, you’ve gotten the data you want immediately. For instance, you can make AI Companion conscious of your group’s IT troubleshooting guides so workers may 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 will be additional enhanced by the ISV’s generative AI stack. By utilizing the Amazon Q index SearchRelevantContent API, Zoom and different ISVs can combine question outcomes instantly into their setting.

The SearchRelevantContent API is an identity-aware API, which suggests it operates with information of the consumer’s id and related data (corresponding to e-mail and group membership) by means of the credentials used to name the API. This id consciousness is a prerequisite for utilizing the API. When querying the index, it reconciles doc entry controls in opposition to the authenticated consumer’s permissions. Because of this, 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 the event you ask in Zoom, “What’s Firm XYZ’s engagement on the most cancers moonshot challenge?”, 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 may 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 challenge?', 
    'maxResults': 10
}

search_response = qbiz.search_relevant_content(**search_params)

The search response will include an array of outcomes with related chunks of textual content, together with supply data, doc attributes, and confidence scores. The next is a snippet from the SearchRelevantContent API response. That is an instance of outcomes you may 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 certainly one of these attributes comprises the writer, it could be potential for an ISV to use a filter the place you possibly can 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': 'Writer',
            'worth': {
                'stringValue': 'John Smith'
            }
        }
    }
}

For a extra complete reference on what is offered within the SearchRelevantContent API request object, seek advice from search_relevant_content.

Clear up

Once you’re achieved utilizing this resolution, clear up the assets you created.

1. Delete the Zoom knowledge accessor from the Knowledge accessors console. Deleting this knowledge accessor will delete permissions and entry to the info accessor for all customers.
2. Delete the Amazon Q Enterprise software that you simply created as a prerequisite.
   • Navigate to the Amazon Q Enterprise console.
   • Select Functions on the left menu.
   • Choose the applying you created.
   • Select Delete from beneath Actions to delete the applying.

Deleting the Amazon Q Enterprise software will take away the related index and knowledge supply connectors, and stop incurring extra prices.

Conclusion

Amazon Q indexes presents a transformative strategy to office effectivity. By making a centralized, safe repository in your group’s knowledge, you possibly can seamlessly combine important data together with your on a regular basis productiveness instruments like Zoom AI Companion.

On this put up, 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 information in a managed manner instantly from inside these platforms.

Able to supercharge your workforce’s productiveness? Begin your Amazon Q Work trip immediately alongside Zoom. To study extra about Amazon Q Enterprise knowledge accessors, see Improve enterprise productiveness in 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 programs. David is a part of a specialist staff that focuses on serving to prospects study, innovate, and make the most of these extremely succesful providers with their knowledge for his or her use circumstances.

Chinmayee Rane is a Generative AI Specialist Options Architect at AWS, with a core give attention to generative AI. She helps Impartial Software program Distributors (ISVs) speed up the adoption of generative AI by designing scalable and impactful options. With a robust background in utilized arithmetic and machine studying, she makes a speciality of clever doc processing and AI-driven innovation. Exterior 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 he or she incessantly speaks at AI and ML conferences and meetups all over the world. She has each breadth and depth of expertise in know-how and the know-how trade, with trade experience in healthcare, the monetary sector, and insurance coverage.