Publications
Articles, papers, and blog posts from our research team.
Model Context Protocol
Does agentic retrieval trump vanilla retrieval? What is the top performing combination of datastores and embeddings from a retrieval accuracy perspective
A Guide to Tools, Trust, and Transparency in AI Coding
In todays market, 10 minutes vs 70 minutes determines who wins proposals. This 86% efficiency gain translates directly to competitive advantage worth $41,600 annual capacity per analyst.
A comprehensive benchmark analysis of popular agentic frameworks including LangChain, LangGraph, CrewAI, and AutoGen, evaluating their performance in real-world scenarios and providing actionable insights for framework selection.
From Theory to Practice with Automated Solutions
Analysis of Framework Architectures, Capabilities, and Multi-Agent Dynamics
Assessing Human Readiness and Synergies in Human-AI Evaluation
Benchmarking Multi-Agent Coordination, Reliability, and Interoperability
Enabling Seamless AI Agent Collaboration
The Future of Personalized and Self-Directed Learning
A Guide to AI-Powered Tools
Beyond Manus AI
Creating Effective Datasets and Evaluation Criteria
MCP Meets OVON in the Quest for True Interoperability
Key Highlights and Developments
Leveraging a Knowledge Base for Continuous, Iterative Discovery
Proprietary and Open-Source Solutions
Overview, Comparison, and Recommendation
Bridging Structured Knowledge and Generative AI for Smarter Solutions