Explore how search modernization is transforming agentic AI platforms like CrewAI and Copilot — boosting performance, accuracy, and agent autonomy
Spotlight: Search Modernization Improves Agentic AI Platforms like CrewAI and Copilot Read More »
Modern Investigations Require Modern Tools From courtrooms to compliance offices to police precincts, investigative professionals are drowning in digital evidence. Documents, emails, chats, images, and recordings pile up across disconnected systems, while the demand for speed, accuracy, and defensibility only grows. Traditional review tools can’t keep up. They were built for smaller data sets and linear workflows, not the scale and complexity of today’s investigations. The result? Slower case progress, higher costs, and greater risk. That’s why we built Quintus — a secure, AI-powered platform designed from the ground up
Introducing Quintus: AI-Native Investigative Intelligence Read More »
Instacart’s recent blog posts and InfoQ coverage paint a picture of a simplified, cost-effective search architecture built entirely on PostgreSQL. It’s a clever consolidation — but also a cautionary tale. For most organizations, especially those with complex catalogs, high query diversity, or real-time ranking needs, this approach is not just suboptimal — it’s misleading. Postgres is a relational database, not a retrieval engine. Treating it like one introduces architectural debt that will eventually come due. While the engineering effort is commendable, the approach is dated and fundamentally flawed for organizations
Why PostgreSQL Search Isn’t Enough: A Case for Purpose-Built Retrieval Systems Read More »
Essential considerations for a successful migration away from App Search, emphasizing the importance of assessing your current implementation and aligning search with your business goals. Discover how modernizing your search technology can enhance relevance, expand use cases, and operationalize insights.
After App Search: A Modernization Blueprint for AI-First Organizations Read More »
Glean’s recent blog post claims that federated search is on its way out. However, federated search is more relevant today than ever, and protocols like MCP are enhancing its effectiveness
Why Federated Search is Still Relevant Today Read More »
Elasticsearch 9.0 is finally GA, and it’s packed with powerful new features that push the boundaries of search, observability, and AI-driven analytics. Whether you’re building semantic search applications, managing massive datasets, or monitoring LLM performance, this release delivers innovations designed to meet modern data challenges head-on. Here’s a breakdown of the most impactful updates in Elasticsearch 9.0 from our perspective: Better Binary Quantization (BBQ) – Now Generally Available One of the standout features in Elasticsearch 9.0 is the GA release of Better Binary Quantization (BBQ), Elastic’s proprietary vector quantization technique.
What’s New in Elasticsearch 9.0: Key Innovations in Search, Observability, and Security Read More »
Using document intelligence, we can examine the differences between the various datasets of the Kennedy Assassination files.
The Kennedy Assassination Files: Unveiling the Truth with Document Intelligence Read More »
CHICAGO, March 11, 2025 – MC+A, an award-winning technology consultancy specializing in AI solution implementation, has been selected for the 2025 KMWorld 100 Companies That Matter in Knowledge Management list. This prestigious list, curated by KMWorld, highlights the most influential vendors shaping the future of knowledge management across various sectors and recognizes MC+A’s impact and contributions. “MC+A is honored to be included in this year’s KMWorld 100 Companies list,” said Michael Cizmar, founder and Managing Director of MC+A. “Our team has worked diligently over the past few years to transform
MC+A Recognized as one of the KM100 in 2025 by KMWorld Magazine Read More »
Explore practical insights on AI’s business value in MC+A’s executive guide. Learn real-world lessons and strategies for successful AI implementation and maximizing ROI.
An Executive Guide to AI Business Value: Lessons from the Field Read More »
Discover how ColBERT and ColPali are transforming vector search by enhancing search relevance and multi-modal retrieval. These systems improve processing efficiency for text and visual content, making them ideal for complex data in legal, regulatory, and financial sectors.
The Future of Search: Vision Models and the Rise of Multi-Model Retrieval Read More »