AI Engineering

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GELATO: The Frozen Towers Approach to Multimodal Embeddings

 🧠LLMs  Content type: Blog
medium.com
·

Report: GKE Inference Gateway delivers up to 92% faster AI responses

 🔧DevOps  Content type: Blog

Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale

 💬Prompt Engineering  Content type: News
infoq.com
·

Guardian Runtime – Local firewall for AI coding agents and runaway costs

 📊Observability

Building Agents Without Harness-Engineering

 🔧DevOps

Quiz: Embeddings and Vector Databases With ChromaDB

 🧠LLMs
realpython.com·

Building a Retrieval-Augmented Generation (RAG) System for Flutter Documentation Q&A

 🧠LLMs  Content type: Blog
medium.com
·

CoRover AI builds AI without the internet, and here’s why it works better

 📐AI Architecture
yourstory.com
·

Massive AI Storage Demand Creates a New Memory Wall

 💬Prompt Engineering  Content type: News
eetimes.com·

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

 🔧DevOps  Content type: Discussion

Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning

 💬Prompt Engineering  Content type: Academic
arxiv.org·

Retrieval-Augmented Agents vs RAG Pipelines: Why They’re Not the Same Thing

 💬Prompt Engineering  Content type: Blog
medium.com
·

The Math Behind Why Multi-Step AI Agents Fail in Production

 ☸️Kubernetes  Content type: Blog
mirantis.com·

Bringing intelligence to OpenSearch: Introducing the OpenSearch agent server

 📊Observability  Content type: Blog
opensearch.org·

The Hidden Reasons Your RAG Pipeline Stops Working at Scale

 Code Quality  Content type: Blog
medium.com
·

Hashtag Jakarta EE #336

 🗄️Databases
agilejava.eu·

Conway’s Law in Reverse: Why AI Agents Need One Database, Not Ten

 🐹Golang  Content type: Blog
pingcap.com·

Show HN: RiskKernel, kill -9 an AI agent and resume it without paying twice

 📊Observability

a desktop GUI to browse, search, & visualize your vector databases

 🐹Golang
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