Latest Updates

News, product updates, and guides on building better RAG applications.

RAG vs Fine-Tuning: How to “Tune” LLMs for Business Use
3/6/2026
AI Engineering

RAG vs Fine-Tuning: How to “Tune” LLMs for Business Use

RAG vs fine-tuning: learn when to retrieve fresh knowledge vs train a model, how to compare cost/latency/risk, and what works best in enterprise.

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How to Build a RAG System Step by Step
2/21/2026
RAG Implementation

How to Build a RAG System Step by Step

Learn how to build and create a RAG system step by step: scope, ingest docs, chunking, embeddings, retrieval, prompting, evaluation, and maintenance for reliable AI answers.

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What Is RAG AI? A Simple Guide to Retrieval-Augmented Generation
2/21/2026
RAG Systems

What Is RAG AI? A Simple Guide to Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is a method that helps AI answer using your documents by retrieving relevant evidence first—reducing hallucinations and improving reliability.

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Why RAG Prevents Hallucinations and Makes Business AI Useful
2/20/2026
RAG Systems

Why RAG Prevents Hallucinations and Makes Business AI Useful

Retrieval-Augmented Generation (RAG) reduces AI hallucinations by grounding responses in your company’s documents making business AI accurate, current, and reliable across teams.

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