mongodb

Tag

Cards List
#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 · 3d ago 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 · 6d ago 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