MC+A

You are going to need a bigger boat. How big of a boat...well...that's the real question. Michael Cizmar discusses sizing formulas for your retrieval workloads in Elastic

How to Create a Sizing Formula for Your Elasticsearch Queries This article dives into Elasticsearch Cluster Query Performance and explains the Math behind the Latency.

We reopened the Kennedy files, this time with AI.

Using document intelligence, we uncovered hidden connections.

Curious to know more? You can still see how our approach to AI-driven discovery can be applied to your own data.
https://lnkd.in/gCn4THD2

For over two decades, we’ve been the engineering backbone behind enterprise innovation.

As AI reshapes how organizations operate, you need more than strategy, you need deep technical expertise to build scalable, secure AI foundations that actually work at enterprise scale.

Had enough of proof-of-concepts that never go live?

We reopened the Kennedy files, this time with AI.

Using document intelligence, we uncovered hidden connections.

We presented this Enterprise Search and Discovery 2025. Curious to know more?You can still see how our approach to AI-driven discovery can be applied to your own data.
https://lnkd.in/gCn4THD2

With Elastic – I just got recognized as one of their top fans! 🎉

MC+A Digest — October 11, 2025 - AI & Search Insights

We’re excited to share the latest in enterprise AI and intelligent search:

+ launches Elastic Inference Service (EIS) to embed GPU acceleration directly into Elasticsearch for faster embedding, reranking, and LLM inference.

+ new Market Guide reframes enterprise search as a synthesis engine, not just retrieval—highlighting RAG, hybrid search, governance, and embedding AI across apps.

+ adds 3 to 365 , giving organizations choice in which AI engine powers their productivity stack—boosting flexibility and reducing vendor lock-in.

Curious how these trends affect your strategy? Let’s connect.

(Also we launched our new website)

MC+A Digest: Elastic Launches EIS | Gartner Maps AI Search | Microsoft Adds Claude Microsoft is expanding flexibility within its 365 Copilot suite by integrating Anthropic’s Claude 3 model as an alternative to OpenAI’s GPT-based engine. The move allows enterprises to choose the AI model that best fits their governance, compliance, and performance needs, signaling a broader ind...

This week's Digest:
+ The New Microsoft
+ versus the archives :
+ Elastic Studio
https://ai.mcplusa.com/mca-digest-mca-on-document-intelligence-relevancy-engineering-more

Hope you had a great week!

MC+A Digest:  MC+A on Document Intelligence & Relevancy Engineering & More The Microsoft Agent Framework is an open-source toolkit for building, orchestrating, and deploying AI agents and multi-agent workflows in Python and .NET. It enables everything from simple chatbots to complex multi-agent systems using graph-based orchestration, streaming data flows, and human-in-the...

In this week’s MC+A Digest:

+ Microsoft AI Tour Chicago highlighted how is moving from pilots to production, with a reimagined and an upcoming open-source agent framework.

+ Algolia launched Agent Studio, making it easier to build scalable, reliable AI agents grounded in search.

+ NVIDIA & OpenAI announced a $100B partnership to deploy 10GW of NVIDIA-powered data centers, accelerating the AI infrastructure race.

AI momentum isn’t slowing down—it’s reshaping how platforms, , and infrastructure come together.

MC+A Digest: Discover Microsoft's Reimagined Marketplace & AI Tour Highlights The Microsoft AI Tour made a stop in Chicago this week, bringing together Microsoft leaders, NVIDIA, and other innovators to showcase how AI is moving from experimentation to real business impact. The sessions highlighted practical tools, bold ideas, and success stories that showed how organizations...

Tip for the day: Friends don't let friends use their DB as the primary search engine for an ecommerce platform.

Why PostgreSQL Search Isn’t Enough: A Case for Purpose-Built Retrieval Systems Postgres is a great database — but it’s not a search engine.Instacart’s recent move to consolidate search on Postgres highlights the risks: poor autocomplete, weak ranking, and frustrated users.If relevancy drives revenue, you need purpose-built retrieval systems like Elasticsearch, OpenSearch...

Elastic’s deprecation of App Search marks a turning point for search modernization. At MC+A, we see this as more than a technical migration—it’s a strategic opportunity to reimagine how search drives business outcomes.
Our latest blog outlines a blueprint for organizations ready to move beyond App Search and embrace scalable, AI-powered search experiences built natively on Elasticsearch.

Learn how to:
+ Assess your current search implementation
+ Align search with business goals
+ Expand use cases and operationalize insights

Let’s build the future of search—intelligent, scalable, and AI-first.

After App Search: A Modernization Blueprint for AI-First Organizations Explore a strategic blueprint for migrating from Elastic App Search to AI-powered solutions.

This week's insight article:
+ Layered Ranking for Applications
+ Swama: A Locally Optimized Ex*****on Platform for macOS
+ ES|QL COMPLETION Command: Generating Creative Output with an LLM

MC+A Digest - Sept 2 2025 - Discover Layered Ranking for RAG Applications & More Vespa has announced a new layered ranking system for Retrieval-Augmented Generation (RAG) applications. This innovation aims to enhance context engineering at scale.

This week's insight article:
+ B2B E-commerce Industry Report
+ Search is Back!
+ Our initial post on the Kennedy Files using to predict near document duplicates ( )

Explore the Latest: Search is Back! (Did it ever leave?), Kennedy Files, & B2B EComm Jo Kristian Bergum metions "We have finally moved past the vector DB concept and back to the search engine concept." which we whole heartly agree.  The paper which introduces Seaerch-R1 in "Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning".  This highlight...