Articles Tagged “Rag”
5 articles found
EmbeddingGemma 2: On-Device Search for Text, Images, Audio
EmbeddingGemma 2 is a 740M open embedding model that searches text, images, audio and video on a phone using as little as 191MB of RAM. See how it works.
Embedding Models Guide: Dense vs Multi-Vector RAG
A practical 2026 guide to choosing embedding models for RAG: dense bi-encoders, multi-vector late interaction, and rerankers, with cost and memory math.
Mistral OCR 4 Turns Documents Into Structured Data You Can Self-Host
Mistral's OCR 4, launched June 23, 2026, reads 170 languages, returns structured layout and confidence scores, tops OCR benchmarks, and runs in a single self-hosted container.
Google Makes Gemini API File Search Multimodal With Page-Level Citations
Google's Gemini API File Search now indexes images alongside text, ties responses to original page numbers, and ships free storage and query embeddings — turning verifiable RAG into a one-call developer primitive.
Google Launches Gemini Embedding 2 — The First AI Model That Maps Text, Images, and Video Into a Single Search Space
Google's new natively multimodal embedding model jointly maps text, images, and video into a unified vector space, enabling cross-modal retrieval and RAG applications.