Services Overview
During Consulting: GenAI Build Essentials, MongoDB will focus on how to build a Generative AI (GenAI) solution with Retrieval-Augmented Generation (RAG) capabilities on MongoDB Atlas. MongoDB will provide you with a team skills assessment and training workshop on GenAI with MongoDB, and work with you to carry out an in-depth assessment of your desired GenAI functionality (“use case”) to identify key requirements, application considerations, and user needs. Using the information gathered, MongoDB will provide you with a GenAI Strategy Report including recommendations on data strategy, technology, and capabilities of MongoDB, provide a demonstration of the potential implementation of the agreed use case (“solution”), and design a GenAI solution blueprint and implementation plan.
Key Activities
Alignment and Planning
MongoDB will conduct a half-day Goal Setting Workshop with you to map out your use case, identify key stakeholders, define the vision for your GenAI solution, and understand the success criteria. MongoDB will provide you with two weeks of access to the MongoDB Skill Scanner to evaluate your technical team’s proficiency in GenAI, MongoDB Atlas Vector Search, and MongoDB development, as applicable. At the end of the Alignment and Planning phase, MongoDB will discuss and agree on expected milestones, timeline, and a project plan, which sets out the goal for the engagement and measurable success criteria for your GenAI build that will be incorporated into the final GenAI Strategy Report.
Discovery and Inspection
During this phase of the engagement, MongoDB will conduct several deep-dive discovery sessions with your technical and business teams to review more detailed aspects of your use case, such as your solution requirements and features, architecture, infrastructure, datasets, and integrations. MongoDB will run a training workshop where we will enable your teams on the foundations of building GenAI applications on MongoDB Atlas, managing and querying vector data with MongoDB Atlas and MongoDB Atlas Vector Search.
Analysis, Design, and Demonstration
During this phase, MongoDB will analyze the data gathered in the previous phases, focusing on areas such as use case, application features, data model, example data sets and vectorizations, the existing technology landscape, application requirements, and search functionality.
Using this analysis, MongoDB will then compile and provide you with the following Deliverables:
Skills Assessment Report
- This report will summarize the results of the MongoDB Skill Scanner assessment of your team in one or more of the following areas: using MongoDB with GenAI, MongoDB Atlas as a vector database and MongoDB Atlas Vector Search, as well as recommendations for MongoDB training courses.
GenAI Strategy Report
- This document will summarize our findings and recommendations, including a description of the business requirements and agreed success criteria for your GenAI use case, an example data model and datasets, and our recommended retrieval-augmented generation (RAG) data strategy. This will include a blueprint for your GenAI solution with target architecture featuring the selected technical stack, a description of each GenAI solution component and their integrations. Lastly, it will provide a phased implementation plan, including an intermediate prototype step, and a specific focus on how operational and security requirements will be addressed.
GenAI Solution Demo
- We will provide a recorded demonstration of your potential GenAI solution using our preferred cloud environment, AI/ML platform, application framework, MongoDB Atlas, and MongoDB Atlas Vector Search.
Finally, MongoDB will conduct a review and feedback presentation with you, focusing on the key findings and the proposed solution, along with the recommended actions necessary to implement the solution.
Project Timeline, Milestones and Deliverables
Estimated Total Duration: 4 - 6 weeks