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RAG 12 posts

Every post filed under RAG, newest first.

Nvidia's 1B Nemotron embed model is built for multilingual RAG at 8K context
4 min read

Nvidia's 1B Nemotron embed model is built…

llama-nemotron-embed-1b-v2 ships Matryoshka 2048-dim vectors, 26-language eval coverage, and commercial-friendly NeMo Retriever licensing for long-document QA retrieval.

What is RAG for business? Plain English for operators who need grounded answers
8 min read

What is RAG for business? Plain English…

RAG lets chatbots and voice agents answer from your SOPs, prices, and policies with citations. When you need it, when you do not, common failure modes, and how it pairs with CRM tools.

Grep beat vector search in agentic retrieval. The harness mattered more.
5 min read

Grep beat vector search in agentic retrieval.…

A May 2026 study on LongMemEval found inline grep often beat vector retrieval across Claude Code, Codex, Gemini CLI, and a custom harness. Here's what that means before you buy another vector database.

Mistral OCR 4 returns a document map, not a text dump
4 min read

Mistral OCR 4 returns a document map,…

Mistral OCR 4 adds paragraph-level bounding boxes, 13 block types, and inline confidence scores across 170 languages. At $4 per 1,000 pages it is built for RAG chunking, agent grounding, and self-hosted document pipelines.

Berkeley's LOCUS dataset puts 2.2 million U.S. local laws in one searchable corpus
4 min read

Berkeley's LOCUS dataset puts 2.2 million U.S.…

LOCUS scrapes ordinances from 9,239 cities and counties, OCRs messy PDFs cheaply, and ships ModernBERT classifiers for paternalism, opacity, and enforcement discretion. Free on Hugging Face.

Stanford STORM turns any topic into a cited research report (31K GitHub stars)
4 min read

Stanford STORM turns any topic into a…

STORM researches topics via multi-perspective question asking, builds an outline from web sources, and writes long-form articles with citations. Free hosted demo or pip install knowledge-storm.

Datalab lift extracts schema-valid JSON from PDFs in 9.5 seconds
3 min read

Datalab lift extracts schema-valid JSON from PDFs…

Datalab's lift is a 9B open-weights vision model that decodes directly against your JSON Schema. Schema-constrained generation guarantees valid structure, trained abstention returns null instead of hallucinating fields, and self-hosted runs hit 90.2% field accuracy.

Gemini Embedding 2 puts text, audio, video, and images in one search space
4 min read

Gemini Embedding 2 puts text, audio, video,…

Google's Gemini Embedding 2 maps text, images, video, audio, and PDFs into a single vector space. One ingestion pipeline, cross-modal retrieval, and a cleaner path to multimodal RAG in production.