news.ycombinator.com
From zero to RAG engineer: 1200 hours of lessons so you don't repeat my mistakes | Hacker News
#RAG is an active hashtag on Bluesky. In the last 30 days, 103 people shared 202 posts with it — around 7 a day. Activity is down 6% versus the previous week, peaking on Jul 23 with 13 posts.
Tags most often used together with #RAG.
news.ycombinator.com
From zero to RAG engineer: 1200 hours of lessons so you don't repeat my mistakes | Hacker News
scim.ag
Multiomics dissection of human RAG deficiency reveals distinctive patterns of immune dysregulation but a common inflammatory signature
A multiomics approach reveals immune dysregulation signatures that characterize the clinical phenotypes of human RAG deficiency.
www.improving.com
GraphRAG Systems: The Future of Information Retrieval? | Improving
Discover how GraphRAG Systems revolutionize data retrieval with comprehensive, nuanced responses to complex queries.
tidyverse.org
ragnar 0.3.0
The new release of ragnar adds faster ingestion, new embedding providers, improved retrieval, and new integrations for using ragnar stores from tools.
k33g.org
A mini code agent with Docker Agent - Part 8: a local agent to learn Rust
Assemble a local Rust learning companion with Docker Agent: a cookbook RAG, a rust-analyzer LSP toolset, and the context caps that keep a small model alive.
onthisdayinjazzagemusic.substack.com
AUGUST 10TH
HAPPY BIRTHDAY GERALDO!
community.aws
RAG with OpenAI GPT on Amazon Bedrock
You have a Bedrock Knowledge Base full of documents and you want to build a question-answering system that grounds its responses in that corpus. Bedrock's built-in `RetrieveAndGenerate` API couples retrieval and generation into a single call, but you want more control: custom prompting, citation formatting, deduplication logic, or the ability to swap generation models independently of the retrieval layer.
webdad.eu
The Agent Was Confident. The Data Was Wrong.
A retrieval call can succeed and still give an AI agent exactly the wrong evidence. This practical walkthrough shows how to test retrieval as its own quality surface, covering stale documents, missing exceptions, conflicting sources, query variations, evidence gates, and measurable before-and-after evaluation results.
www.ottorinobruni.com
Build a Local RAG Application in C# with Ollama and Qdrant - Part 1 - Ottorino Bruni
Learn how to build a local RAG application in C# using Ollama and Qdrant, from architecture and embeddings to vector search and private AI setup.
community.aws
From Raw Data to Relevant Context: Managing Data for Generative AI on AWS
A practical guide to Bedrock Data Automation, Data Wrangler, AWS Glue, Transcribe, Comprehend, Amazon S3, vector storage, databases, reranking, and CloudWatch.
openreview.net
ACM CIKM 2026 Workshop GaLM
Welcome to the OpenReview homepage for ACM CIKM 2026 Workshop GaLM
community.aws
From Foundation Models to Guardrails: Understanding Generative AI with Amazon Bedrock
A practical mental model for understanding Amazon Bedrock, RAG, embeddings, vector stores, fine-tuning, LoRA, Knowledge Bases, prompts, and flows.
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