Forward Deployed Engineer: AI’s Hottest New Career, or Consulting With a Better Title?
The forward deployed engineer: is this the hot new AI career, or has the hype cycle rebranded?
KDnuggets11 min read
retrieval augmented generation
516 stories
A Pile of Documents Is Not Knowledge
My research agent had read about 20,400 documents. It had concluded nothing. Not metaphorically. The knowledge store held roughly twenty thousand rows — papers, articles, PDFs, nightly log entries — and there was nowhere in the system that said what any of it meant.
Dev.to AI3 min read
5 Proven Techniques for Token Compression and Prompt Optimization
Reduce costs, improve response quality, and build leaner AI applications with these prompt engineering strategies.
KDnuggets6 min read
AI agent vs. MCP server: which one should you build?
An AI agent and an MCP server are two parts of one system. Here's what each one owns, what a connection costs in context, and which one you should build.
Apify Blog21 min readLLM-as-a-Judge for Low-Resource Languages: Adapting Ragas and Comparative Ranking for Romanian
Evaluating Retrieval-Augmented Generation (RAG) systems remains a challenge for Low-Resource Languages (LRLs), where standard reference-based metrics fall short.
arXiv - cs.CL (NLP)2 min read
Deleting RAG from our web agent made it 2.3x faster
We rewrote Skyvern from scratch using Pi as inspiration, making it 2.3x faster and score 90.5% on Odysseys benchmark.
Skyvern Blog6 min read
Lightweight PDF parser with layout, tables, formulas and bounding boxes
Article URL: https://github.com/beatrizalmeidaf/papero-pdf-text-extractor Comments URL: https://news.ycombinator.com/item?id=49923638 Points: 31 # Comments: 6
Hacker News7 min read
From Messy Documents to Structured Data with Docling
Docling takes documents in whatever inconsistent format they arrive in, and converts them into one unified, structured representation that both people and AI systems can work with reliably, rather than everyone downstream having to guess at what a wall of extracted text actually meant.
KDnuggets16 min read
LAI #145: What Makes an Agent Reliable?
LAI #145: What Makes an Agent Reliable? Plus, persistent AI identity, decisions without decoding, causal inference, Kubernetes triage, and RAG claim verification. Good morning, AI enthusiasts! AI …
Towards AI6 min read
When to Use an LLM Knowledge Graph or a Vector RAG
An LLM knowledge graph and vector RAG ground models differently. See when to use each, how to build a knowledge graph from text, and how to run both smoothly.
n8n Blog6 min read
How we built long-term memory for Alyx: why we chose a file over a knowledge graph
How we built long-term memory for Alyx: why we chose one 8,000-character file over retrieval and knowledge graphs, and how we tested it. The post How we built long-term memory for Alyx: why we chose a file over a knowledge graph appeared first on Arize AI.
Arize AI23 min read
Use Graph RAG when relationships are part of the evidence
Which team owns the service that depends on the vulnerable library? Which customers use that service, and what does each The post Use Graph RAG when relationships are part of the evidence appeared first on The New Stack.
The New Stack - AI8 min read
A New Agentic Experience: JetBrains Air in IDEs – EAP Now Open
Last week, we shared our point of view on where we think agentic development is headed and introduced JetBrains’ answer to it: JetBrains Air, an open system of products for agentic development. Today, we’re launching the Early Access Program for Air in JetBrains IDEs.
JetBrains AI Blog8 min read
Adding Temporal Reasoning to Graph-RAG: Tracking Fact Freshness and Staleness
In this article, you will learn how to add a lightweight temporal reasoning layer to a Graph-RAG system so that it can distinguish fresh facts...
Machine Learning Mastery Blog6 min read
Claude Code Custom Commands & Skills: Automate Your Workflow
Every dev team has repeatable setup tasks: spinning up a new project, running a deployment checklist, generating a file structure, or typing the same instructions into Claude again and again.
Analytics Vidhya7 min read
How to ground a LlamaIndex RAG app in fresh web data
Scrape a website into LlamaIndex with Apify, update the index without re-embedding unchanged pages, and stop partial crawls from deleting pages that still exist.
Apify Blog22 min read
Building Knowledge Vault : From RAG Implementation to Retrieval Engineering
I built a local-first PDF RAG system, then measured retrieval, reranking, latency, evidence quality, and failure modes to understand where it breaks.
Towards AI16 min read
It’s time to retire the ‘stochastic parrot’ definition of AI
Early generative AI models, circa 2017-2022, were “stochastic parrots.” That is, they generated language by choosing the statistically most likely next word based on patterns in their training data, rather than truly understanding what they were saying.
Fast Company AI4 min read
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