mongodb

Tag

Cards List
#mongodb

AptMQL-Bench: From Text-to-SQL to Text-to-MQL via Access-Pattern Schema Design and Data-Preserving Migration

arXiv cs.CL ↗ · 2026-10-05 Cached

AptMQL-Bench proposes a coding-agent-driven, human-in-the-loop pipeline to convert the BIRD text-to-SQL benchmark into a MongoDB-native text-to-MQL benchmark via access-pattern-based schema design and lossless data migration, showing that existing mechanical conversions fail or degrade performance, and that even Claude OpOpus 4.5 only reaches 57.38-70.34% accuracy on the new task.

0 favorites 0 likes
#mongodb

@sudheenair: this is another way of handling something similar to what transpired loudly on twitter, i think

X AI KOLs Following ↗ · 2026-10-01 Cached

MongoDB interim CEO Ditty Cheria commented on Meta recruiting CJ Desai, reflecting the ongoing AI talent war among major tech companies.

0 favorites 0 likes
#mongodb

@GergelyOrosz: There is something to be said about signing up to lead ~5,500 people (at MongoDB) as CEO, then, 10 months later walk ou…

X AI KOLs Timeline ↗ · 2026-10-01 Cached

Gergely Orosz comments on MongoDB's interim CEO CJ Desai leaving to join Meta just 10 months after taking the leadership role, questioning the executive's commitment given MongoDB's large workforce.

0 favorites 0 likes
#mongodb

@cognition: Devin for @MongoDB Modernizations is here. Devin handles the legacy code changes while MongoDB AMP moves and validates …

X AI KOLs Timeline ↗ · 2026-09-29 Cached

Cognition and MongoDB launched Devin for MongoDB Modernizations, integrating Devin's AI coding agent into MongoDB's Application Modernization Platform (AMP) to automate legacy code rewrites and data migration, reducing migration work from hours to just over an hour in early testing.

0 favorites 0 likes
#mongodb

@tferriss: “I never think about exits. We need to focus on the product. Do we have a product that everyone wants to use? If you so…

X AI KOLs Following ↗ · 2026-09-28 Cached

Tim Ferriss shares an interview with entrepreneur Kevin Ryan, discussing how to identify long-term trends and build successful companies, drawing from Ryan's experience with MongoDB, AlleyCorp, and other ventures.

0 favorites 0 likes
#mongodb

@GergelyOrosz: Hot damn, Meta poached the CEO of a $35B, publicly traded company, MondoDB to lead their enterprise AI efforts… CJ Desa…

X AI KOLs Timeline ↗ · 2026-09-28 Cached

Meta has hired CJ Desai, the former CEO of MongoDB, to lead their enterprise AI efforts as Chief Enterprise Platform Officer, reporting directly to Mark Zuckerberg.

0 favorites 0 likes
#mongodb

MongoDB CEO resigns "effective immediately" to join Meta, stock drops 20%

Hacker News Top ↗ · 2026-09-28

MongoDB's CEO has resigned effective immediately to join Meta, leading to a 20% drop in MongoDB's stock price.

0 favorites 0 likes
#mongodb

@tferriss: Kevin Ryan on the difficult journey of getting @MongoDB off the ground and having no revenue for 3+ years.

X AI KOLs Timeline ↗ · 2026-09-25 Cached

Kevin Ryan discusses the challenges of establishing MongoDB, including having no revenue for over three years.

0 favorites 0 likes
#mongodb

@DailyDoseOfDS_: Finally, a database can generate its own embeddings now. When you add semantic search to an app, the standard step is t…

X AI KOLs Timeline ↗ · 2026-09-19 Cached

MongoDB Atlas introduces auto-embedding, enabling databases to generate and manage embeddings internally for semantic search, eliminating the need for external services and improving data synchronization.

0 favorites 0 likes
#mongodb

@swyx: it was a blast covering Build Fest this year - they didnt know this but I learned to code with MongoDB over 10 years ag…

X AI KOLs Following ↗ · 2026-08-21 Cached

The tweet discusses the author's experience covering Build Fest and learning MongoDB, while highlighting MongoDB's new announcements for AI engineering, including Atlas Managed MCP Server and integrations with AI tools like Claude and ChatGPT.

0 favorites 0 likes
#mongodb

@LangChain: Join LangChain, @awscloud, + @MongoDB at the AWS Agentic AI Partner Showcase Extended in San Francisco to see how produ…

X AI KOLs Timeline ↗ · 2026-08-18 Cached

Join LangChain, AWS, and MongoDB at the AWS Agentic AI Partner Showcase Extended in San Francisco to learn about building production-ready agentic AI systems with live demos and technical insights.

0 favorites 0 likes
#mongodb

Best LLM for Yoga Therapy + Relationship/Breakup Coach + Appointment Booking Bot? Llama 70B vs GPT-OSS 120B vs Claude? [200 users, needs memory]

Reddit r/AI_Agents ↗ · 2026-08-03

A developer building a production chatbot for a yoga studio (therapy, health coaching, booking) seeks advice on choosing between Llama 70B, GPT-OSS 120B, and Claude, and discusses memory architecture, latency, and cost tradeoffs for ~200 users on Groq/OpenRouter.

0 favorites 0 likes
#mongodb

@MongoDB: A legacy stack wasn’t going to power an AI-native future. https://mongodb.social/6011BEai8U founder Samantha McBride sh…

X AI KOLs Timeline ↗ · 2026-07-27 Cached

Samantha McBride's company migrated from a legacy stack to MongoDB to build a flexible financial services platform, enabling easier AI agent deployment without client data restructuring.

0 favorites 0 likes
#mongodb

BaryGraph - knowledge graph where every relationship is its own embedded document (not an edge) [R]

Reddit r/MachineLearning ↗ · 2026-07-04

BaryGraph introduces a novel knowledge graph where every relationship is a first-class embedded document (BaryEdge) rather than an edge between nodes, enabling recursive abstraction triads that surface structural bridges between distant concepts. The preprint includes benchmarks showing structural metrics correlate with human similarity judgments better than cosine similarity alone.

0 favorites 0 likes
#mongodb

Mongo with vector search performance

Reddit r/LocalLLaMA ↗ · 2026-07-03

The article discusses the performance of MongoDB's vector search capabilities, likely comparing it to other solutions or highlighting improvements for AI workloads.

0 favorites 0 likes
#mongodb

How to Optimize MongoDB Query Performance with Indexes

Hacker News Top ↗ · 2026-05-06 Cached

A tutorial on optimizing MongoDB query performance using indexes, demonstrating how to identify slow queries, apply compound indexes, and manage them visually using the VisuaLeaf tool. The workflow covers query profiling, index recommendations, and common indexing mistakes.

0 favorites 0 likes
← Back to home

Submit Feedback