Latest AI and tech news
One question — “is the problem what your model knows, or how it behaves?” — decides between a $20,000 training run and a retrieval step…...
Learn how to integrate a medical knowledge graph with Poro2 LLM via MCP to simplify medical text on AMD Instinct MI300X GPUs
I built the same RAG pipeline twice. The first result looked obvious. Then one experiment changed my conclusion....
What vector quantization actually costs at one million vectors, which is not where you think...
A team builds a retrieval-augmented chatbot over the company's internal policy documents. In the demo, someone asks "how many days of parental leave do we get?" and the bot answers correctly, citing the right PDF. Someone asks about expense limits - ...
Explore five free Microsoft GitHub courses covering data science, machine learning, artificial intelligence, generative AI, LLMs, RAG, fine-tuning, and AI agents.
If you have ever asked a model a question about a long report and received a confident but unverifiable answer, you know the frustration....
Selecting the right serving engine for your embedding model can dramatically outperform hardware upgrades, yielding up to an 11x throughput increase on the same GPU.
A practical guide to adding customer-facing analytics, from tenant permissions and embedding to native UX, launch, build vs buy and packaging.
Extracted document text can be incomplete, outdated, or unsuitable for a workflow. An IDP ingestion layer checks coverage, provenance, and workflow requirements…
Semantic Chunking: How to Split Text for Better RAG Retrieval
The best HubSpot Sales Hub alternatives in 2026, from an autonomous AI BDR to Apollo, Outreach, Salesloft, Reply, and Klenty, with who each fits.
🧠In Enterprise Generative AI and Retrieval-Augmented Generation (RAG), building scalable, high-performing AI platforms requires…...
What each technology actually does, where they break, and the hybrid pattern most production AI systems now use....
From a local knowledge graph experiment to a full indexing/retrieval layer — and the A/B test that measured 40x fewer tokens to locate…...
What is Retrieval-Augmented Generation, or RAG?
RAG is an architecture that enhances an LLM by retrieving relevant information from an…...
I'm building a resume screening/ranking system (matching resumes to
job descriptions using pretrained sentence embeddings + cosine
similarity, no fine-tuning at this stage) as a learning project aimed
at becoming a market-ready NLP practitioner....
In-memory forgets on restart. Files can’t search by meaning. Here’s the fix....
How agents find and use what they've learned: choosing a search strategy, returning useful context, and balancing precise evidence with higher-level understanding....
I needed a vector DB that didn’t require a daemon. SQLite was already there....
Introduction: The Quiet Threat Hiding Inside Your Data...
The first demo that felt genuinely useful was not “find coffee near me.” PostGIS already makes that easy....
“Only 10%-30% of most data in enterprises is structured. The rest is unstructured.”...
Find reports, samples, approvals, results, and supporting evidence faster with laboratory report retrieval software designed for labs, CROs, and biotech teams.
Authors: Bowen Zhou | Staff Software Engineer; Shan Gao | Senior Software Engineer; Jingwen Hu | Software Engineer II; Wenjiang Chu | Staff Software Engineer...
A surprising share of lost subscribers didn't cancel. Their card aged out, the charge failed hard, and your billing system had no path forward. Separating...
ChatGPT can write SVG code, but it cannot turn the images it generates into vectors. Here is what each route actually produces, and how to tell a real vector from a PNG in disguise.