Tag

#embedding

6 articles

Meet Redis LangCache: A Managed Semantic Cache That Cuts LLM API Costs by Up to 90% and Returns Cache Hits Up to 15x Faster

This article explains semantic caching, a technique that reduces LLM API costs and improves response times by identifying semantically similar queries. It explores how Redis LangCache implements this approach to optimize large language model applications.

Sep 1017

Pixel-Native RAG: A Practical Guide to Visual Document Indexing

Learn how Pixel-Native RAG treats documents as visual images to improve retrieval accuracy and support complex document understanding tasks.

Aug 449

NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB

NVIDIA has released Nemotron 3 Embed, an open embedding collection featuring three models, with the 8B checkpoint ranking #1 on the RTEB benchmark.

Jul 1672

RAG-Anything Tutorial: Build a Multimodal Retrieval Pipeline for Text, Tables, Equations, and Images in Colab

This article explains the RAG-Anything framework, a multimodal extension of Retrieval-Augmented Generation that retrieves and integrates information across text, tables, equations, and images.

Jul 268

Microsoft's Bing team open-sources "Harrier" embedding model

This article explains the technical aspects of embedding models and how Microsoft's Harrier model achieves superior multilingual performance while remaining compact and efficient.

Apr 7126

Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space

Learn to implement multimodal embeddings using Google's Gemini Embedding 2 model for cross-modal retrieval and RAG applications.

Mar 10171