Building Gen AI with MongoDB & AI Partners | December 2024

Now that 2024 is behind us, we can see clearly how much change, innovation, and progress there was across the AI landscape in 2024. For MongoDB, the year was particularly marked by collaboration with our AI partners, and by the possibilities that AI collaboration holds; as the saying goes, it takes a village. From the release of breakthrough tools and frameworks, to AI-enriched workflows (for both prototyping and production), together we empowered customers and developers alike to build cutting-edge AI applications.

To help you prepare for the rest of 2025, below is a selection of content developed by MongoDB’s Developer Relations team. This work will equip you with the knowledge (and tools!) from MongoDB and our AI partners to create the hottest AI applications in the new year.

• Building an Agent with Fireworks.AI, MongoDB, and LangChain
  Learn how to create an intelligent agent that combines Fireworks AI’s advanced capabilities, LangChain’s framework, and MongoDB’s robust database. This guide walks you through developing an agent capable of reasoning and decision-making with structured and unstructured data.

• Claude 3.5 and MongoDB: Revolutionizing Retrieval-Augmented Generation
  Learn how Anthropic’s Claude 3.5 integrates with MongoDB to enhance retrieval-augmented generation (RAG) pipelines. This post demonstrates using Claude for contextual and nuanced text generation while leveraging MongoDB Atlas for efficient data retrieval.

• Build an AI Agent with LangGraph.js and MongoDB Atlas
  Explore how LangGraph.js simplifies AI agent development for JavaScript and TypeScript developers. This tutorial showcases building an AI-powered agent and managing data with MongoDB Atlas for seamless functionality and scalability.

• Ingesting Quantized Vectors with Cohere and MongoDB
  Discover how to leverage Cohere’s quantized vector representations and MongoDB Atlas for efficient vector storage and retrieval. This guide demonstrates workflows for building scalable, high-performance applications that use vector embeddings for AI-driven solutions.

And if you’d like to dig into building with MongoDB and gen AI, explore our GenAI Showcase repository on GitHub for a wide range of sample projects, tools, and inspiration to kickstart your AI journey into 2025! Happy New Year—and happy building!

Welcoming new AI and tech partners

In December 2024, we welcomed six new AI and tech partners that offer product integrations with MongoDB. Read on to learn more about each great new partner!

Apigene

Apigene enables users to operate all software applications through a single AI assistant, providing complete control of popular services and platforms.

“We’re excited to partner with MongoDB to bring natural language capabilities to Atlas users, transforming how teams interact with their data”, said Michal Geva, VP of Business of Apigene. “This collaboration makes database operations as intuitive as having conversations, empowering businesses to unlock Atlas’s full potential without complexity.”

Bauplan

Bauplan is a programmable data lake where users can load, transform, query, run, schedule, and replay all from their code, driving superior cost-efficiency and less management from data teams.

“We’re pretty darn excited about partnering up with MongoDB because the combination of Bauplan and MongoDB Atlas makes it so incredibly easy to build full-stack AI applications”, said Ciro Greco, CEO and founder of Bauplan. “One can build powerful applications like embedded analytics, feature stores, recommender systems, and RAG based search in a simple Python script. Zero infrastructure overhead, compute is purely serverless and everything’s version controlled in the data lake by default.”

Botnoi

BOTNOI Group offers innovative AI technologies that enhance business operations such as a conversational AI chatbot for enterprise, speech-to-text, text-to-speech, and computer vision.

“We’re excited to announce our partnership with MongoDB”, said Piyoros Tungthamthiti, CTO of BOTNOI Group. “By integrating MongoDB Atlas, we’re enhancing Botnoi’s capabilities to deliver top-tier conversational AI performance. This collaboration will enable seamless data management, advanced analytics, and reliable system performance, ultimately providing greater value to our clients.”

Jiva.ai

Jiva.ai is a zero-code platform for rapid multimodal AI development using structured and unstructured data.

“We are thrilled to join MongoDB’s ecosystem and bring our no-code AI platform together with their powerful vector search and multimodal data capabilities,” said Dr. Manish Patel, CEO of Jiva.ai. “MongoDB enables us to help businesses rapidly transform complex data into intelligent solutions, democratizing AI development across industries. By combining Jiva.ai’s patented model fusion technology with MongoDB’s flexible document model, we’re accelerating enterprise AI adoption and helping organizations unlock unprecedented insights from their data.”

mple.ai

mple.ai is an AI-powered sales training platform for enterprises, designed to deliver scalable, measurable, and impactful training through role-plays and AI-driven evaluations.

“Our collaboration with MongoDB is redefining AI-driven team training”, said Riddhesh Ganatra, Co-Founder of mple.ai. “With MongoDB’s reliable and scalable data solutions, we’re delivering real-world scenario-based coaching to help organizations achieve faster, more impactful results.”

TrueFoundry

TrueFoundryis a Kubernetes-based platform designed to simplify the process of building, deploying and scaling compound AI systems across any cloud or on-premise infrastructure.

“We’re thrilled to partner with MongoDB to accelerate the development of compound AI applications”, said Nikunj Bajaj, CEO of TrueFoundry. “With TrueFoundry’s powerful accelerators, including AI Gateway, Model Deployment & Finetuning, and RAG Framework, combined with MongoDB’s scalable vector database, enterprises can quickly build, deploy, and scale production-grade AI solutions. TrueFoundry’s platform ensures robust governance, cost optimization, and faster time to value, empowering enterprises to innovate efficiently and at scale.”

But wait, there’s more!

To learn more about building AI-powered apps with MongoDB, check out our AI Resources Hub and stop by our Partner Ecosystem Catalog to read about our integrations with MongoDB’s ever-evolving AI partner ecosystem.

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