MongoDB’s GenAI Showcase

If you are building AI features, you do not need to start from zero. MongoDB’s GenAI Showcase is a collection of production-ready examples that pair Atlas with modern AI stacks so you can stand up working apps, learn proven patterns, and ship faster.

What you’ll find inside

- Starter apps for RAG, agent memory, and hybrid search

- End-to-end blueprints that connect Atlas to common LLM frameworks

- Reusable components for indexing, chunking, and retrieval quality

- Example UIs, APIs, and backend services you can clone and adapt

- Configs and scripts to run locally or deploy to cloud

Why this helps startups

- Cut build time with working patterns instead of slides

- Keep vectors, search, and app data on one platform

- Scale from demo to production without rewriting the stack

How to use it this week

- Clone a template that matches your use case

- Load a small real dataset into Atlas and create a vector index

- Wire up your model and run the app locally

- Tune prompts, ranking, and filters for your queries

- Deploy and monitor with the out-of-the-box scripts

Get started  

Thank you to MongoDB for sponsoring this edition!

Data Governance, Catalog, and Quality Tools: How are they different?

Organizations rely on three essential tools to ensure their data is usable, compliant, and trustworthy: Data Governance Platforms, Data Catalog Platforms, and Data Quality Platforms.

Each plays a unique role, but together they form a robust data ecosystem.

Here’s how they compare:

Data Governance Platforms
• Focus on ensuring compliance and managing regulatory requirements.
• Key features include:
• Secure data access and mitigate risks.
• Manage audit trails and enforce quality standards.
• Approve access workflows to control data use.

Data Catalog Platforms
• Empower users to discover relevant datasets and collaborate.
• Key features include:
• Discover datasets with ease.
• Visualize basic data and collaborate with annotations.
• Track data usage and manage datasets through proxies (data virtualization).

Data Quality Platforms
• Ensure the quality of data assets, making them reliable for business use.
• Key features include:
• Define and validate data quality rules.
• Standardize data cleaning and monitor alerts.
• Build dashboards and calculate quality KPIs.

Why does this matter?

In 2025, businesses cannot afford to make decisions based on incomplete, inaccurate, or inaccessible data. These platforms work together to ensure that:
• Data is secure and compliant.
• Teams can easily find and use relevant datasets.
• The quality of data meets enterprise standards for decision-making.

Building a solid data foundation requires integrating these tools into your workflows. Organizations that succeed in combining governance, cataloging, and quality platforms will be ahead in their data-driven transformations.

100 GenAI consumer apps. One swipeable map.

What is inside the carousel
• Top 50 GenAI web products by unique visits
• Top 50 GenAI mobile apps by monthly active users
• A newcomers watchlist across web and mobile
Swipe through for names, then use the notes below to act on it.

What the patterns say

Web use is chat and creation. People ask, summarize, draft, code, and design. If your product solves everyday search or content tasks, you sit in the center lane.

Mobile use is camera first. Photo and video editing, keyboards, and translators lead. Plan for tap and go workflows.

New names rise fast. Treat the newcomers list like an early signal for format shifts, not just new brands.

Builder tools are crossing over. Coding and research assistants are getting simpler and closer to mainstream use.

How to use this list today
• Founders and PMs. Map your roadmap to the top user jobs on web and mobile. Ship one change that removes a step in a chat, search, or camera flow.
• Marketers. Align content to three user actions you see in the list. Record one demo that starts and ends on mobile.
• Data teams. Track activation and weekly repeat use. Leaders win on small, frequent tasks.
• Creators. Test one web tool and one mobile tool this week. Keep only what compounds your speed or quality.

Signals to watch next quarter
• Assistants add session memory and handoff between steps.
• Camera and editor apps bundle multi step recipes into one tap.
• Research and coding tools cut onboarding and feel like everyday apps.

Save this post for later. Share it with your team if you are planning Q4 experiments.

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Best,

Ravit Jain

Founder & Host of The Ravit Show