Services Overview

The Consulting: GenAI Build Implementation engagement is available after you have completed a Consulting: GenAI Build Essentials. During Consulting: GenAI Build Essentials, MongoDB collaborated closely with you to define a GenAI solution blueprint for your desired GenAI functionality, as well as a GenAI strategy and implementation plan. During this Consulting: GenAI Build Implementation engagement, we will leverage MongoDB’s technical and development expertise to build a working prototype of the GenAI solution implemented on MongoDB Atlas with retrieval-augmented generation (RAG) using synthetic data based on your existing datasets in a MongoDB environment.

Key Activities

Planning and Mobilization

During the planning phase of the engagement, MongoDB will review the GenAI Strategy Report from Consulting: GenAI Build Essentials with you to confirm the scope and success criteria of this engagement. MongoDB will also conduct an execution planning session with you to align on items such as roles and responsibilities, project timelines, task breakdowns, resource access and allocation, and a communication plan.

Build and Implementation

During the build and implementation phase, MongoDB will work with your team to build, validate, and implement a functional prototype of the GenAI solution designed in Consulting: GenAI Build Essentials. We will jointly define the target data model and collate the example datasets for RAG within the prototype. We will generate synthetic data, vectorize it with the chosen embedding model and ingest this data into MongoDB Atlas with the chosen data ingestion process and application framework. MongoDB will develop in agile sprints and establish a meeting cadence with you to demonstrate our work incrementally and gather your feedback.

During this phase, MongoDB will provide you with the following Deliverables:

• GenAI Solution Design

  • This document will describe the design of the GenAI Prototype, explaining how the design decisions for each component addresses functional and non-functional requirements (e.g. accuracy, performance, scalability) incorporated in the GenAI Strategy Report. The GenAI Solution Design will incorporate the MongoDB data model and relevant infrastructural considerations. It will identify components of the prototype that need further development, along with recommended next steps, to transform the prototype into a production-ready solution.

• GenAI Prototype

  • We will develop a functional prototype, in MongoDB’s development environment, of your GenAI solution with RAG that uses MongoDB Atlas as the vector database and MongoDB Atlas Vector Search. The prototype will include a UI and integration layer for interacting with and querying the data, and an example data pipeline for further data ingestion, for RAG. The prototype will incorporate the target architecture and technical stack selected in the GenAI Strategy Report. We will store the prototype code in our code repository and transfer it to you upon completion.

• MVP Roadmap

  • We will provide a strategic roadmap outlining suggested long-term plans to further develop the GenAI solution prototype into a production-ready application.

Implementation Wrap-up

MongoDB will conduct an implementation Wrap-Up Meeting with your key stakeholders to present the GenAI Solution Design, GenAI Prototype, and MVP Roadmap. MongoDB will provide you with access to a repository containing the prototype code and artifacts created during this engagement.

Project Timeline, Milestones and Deliverables

Estimated Total Duration: 8 - 12 weeks

Project Close-Out

Once the Key Activities have been completed and MongoDB has delivered all Deliverables, MongoDB will conduct a Project Close-Out Meeting with you, following which we will provide you with the project completion confirmation email. You will have five (5) business days from the project completion confirmation email to notify MongoDB in writing of any Deliverables which are not reasonably accepted. If you have not done so, Consulting: GenAI Build Implementation will be deemed accepted at the expiration of this period.

MongoDB will work with you to remediate and re-submit any Deliverable which is not accepted up to a maximum of two times. You will have five (5) business days from each resubmission by MongoDB to notify MongoDB in writing of any Deliverable which is not reasonably accepted. If you have not done so, Consulting: GenAI Build Implementation will be deemed accepted at the expiration of the applicable period.

Customer Prerequisites

Before the start of the engagement:

• You will identify and communicate to MongoDB the contact details of these key stakeholders:

  • Customer Project Sponsor: The individual (often a manager or executive) with overall accountability for the project and responsible for ensuring that the project delivers the agreed business benefits.
  • Customer Project Manager: The individual who is accountable for the project decisions, managing the required customer-specific resources and logistics, including assisting the MongoDB Project Manager with risk mitigation and issue resolution strategies.

• You must have completed Consulting: GenAI Build Essentials within the 6 months prior to the start of this engagement.

• You will ensure that there have been no material changes to the key requirements, application considerations, and user needs reflected in the GenAI Strategy Report from Consulting: GenAI Build Essentials.

Other Engagement Details

• Unless agreed otherwise, Consulting Services will be delivered Monday through Friday during the business hours of 9am to 5pm in the time zone of Customer’s work location, excluding holidays observed by MongoDB.

• All Consulting Services are delivered remotely.

• All Consulting Services and Deliverables will be provided in English and using MongoDB templates.

• MongoDB may use subcontractors and/or offshore resources to deliver the Consulting Services.

• You are responsible for:

  • completing tasks and providing access to the relevant personnel, data, information and expertise needed to complete the engagement within the timelines requested by MongoDB. Failure to do so in a timely manner may impact the quality of your Deliverables;
  • providing access to a repository if needed in order to transfer prototype artifacts as required;
  • further developing the GenAI solution prototype into a production-ready application;
  • the maintenance, storage and security of any code delivered by MongoDB during this engagement and your GenAI solution.