RAG

Legion improves RAG by linking it with enterprise systems for seamless data flow. It supports custom integrations, AI-driven operations, and user adaptability, ideal for industries like aerospace and manufacturing.

Discover how Legion's RAG system matches Anthropic’s Contextual Retrieval performance on the Codebases dataset at just 1/300th of the cost. Explore our evaluation to see why Legion RAG is the smart, cost-effective choice for high-performance AI solutions.

GenAI's potential is vast, but practicality lags. Legion compares Retrieval Augmented Generation (RAG) to long context models for knowledge retrieval, favoring RAG's accuracy and scalability for enterprise use.

Comparing RAG systems and LCW models on Needle in a Haystack benchmarks, showing RAG's superior performance and scalability, highlighting the need for better benchmarks for LCW models.

Ensure your RAG system's efficiency with comprehensive chat metrics. Legion offers tools to monitor system performance live, using real-world data without labeled datasets, optimizing your retrieval and generation processes.

Learn how Retrieval Augmented Generation (RAG) is transforming enterprise AI and overcoming limitations of LLMs.