AstaBrief 8B vLLM Local Deployment for Private RAG
Run AstaBrief 8B with vLLM and connect it to a private PDF retrieval pipeline, with citation IDs, prompt format, and validation steps.
Nano Imagine Blog7 min read
retrieval augmented generation
516 stories
AstaBrief 8B Review: What It Can Actually Do Locally
AstaBrief 8B review: check its citation scores, input limits, local deployment path, and how it compares with research agents and PaperQA2.
Nano Imagine Blog7 min read
Seattle software engineer turned general contractor built an AI guide to the patchwork of permit rules
The site, kolmo.io/permits, serves as an un-gated database designed to answer the questions that usually send homeowners into a spiral of municipal PDFs.
GeekWire4 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
What Are Local SEO Citations and Why Are They Critical for Local Search Rankings?
Local SEO citations are online mentions of a business’s core NAP data: its name, address, and phone number. Search engines like Google crawl these mentions across web directories, platforms, and aggregators to verify physical location, confirm business legitimacy,...
ClickRank Blog22 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
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
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
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
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
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
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
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
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
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 — Technology4 min read
Best OpenClaw Alternatives (2026): 9 Options Compared
Best OpenClaw alternatives compared: BetterClaw, Hermes, NanoClaw, ZeroClaw, n8n, Flowise, Langflow, PicoClaw and Grok Bot, with honest trade-offs.
BetterClaw Blog13 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
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
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