Compare the best AI consulting companies for RAG development in 2026. Nine firms scored on delivery, architecture depth, team seniority, and governance.
Enterprise Generative AI Proof of Concept Using RAG Architecture
Keyhole Software partnered with a B2B travel media organization to design a secure, enterprise-grade generative AI proof of concept using Retrieval-Augmented Generation (RAG). The project validated a scalable approach for accessing complex datasets with natural-language queries while maintaining governance, traceability, and operational control.
Mobile Usability Modernization & Developer Mentorship for a Global Insurance Brokerage
A leading global insurance brokerage and risk management firm has partnered with Keyhole Software on multiple initiatives over the years to strengthen and modernize its digital insurance platforms. Across several statements of work, Keyhole consultants have provided expertise in Angular, .NET, React, Azure, and SQL Serverโsupporting projects that span policy administration, client servicing, and internal operations. In this engagement, a …
What is RAG Architecture?
RAG architecture is revolutionizing how businesses use AI by enabling Large Language Models (LLMs) to access and utilize private, real-time data. Traditional LLMs, like ChatGPT, excel in general applications but often lack the context needed for specific enterprise needs. RAGโs innovative approach combines these powerful models with an organizationโs own data, providing contextually relevant insights without the need for costly …
Achieving Effective API Test Coverage: Best Practices and Tools
Test coverage is a metric that measures how much of your codebase is exercised by tests, providing insight into the effectiveness of your testing efforts. In this blog, weโll focus on API projects, exploring the types of tests suited for code coverage, realistic goals (and tools to help achieve them), and the minimum coverage needed to reap the benefits of your tests.
Testing your codeโdown to individual linesโis a critical practice in modern software development. It helps ensure applications remain reliable, stable, and maintainable, all while balancing practical constraints.