Unstructured Edge
Vikram SrinivasanPractical lessons, experiments, and observations from building and deploying real-world AI for enterprise use. No hype — just what’s working, what’s not, and everything in between.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 9 | Subscribers | Read | vikramsrinivasan.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Why Needl.ai Doesn’t Rely on Vector Databases
If you’ve been following the AI space, you’ve probably heard about vector databases. They’re often marketed as the secret sauce behind “intelligent search.” But a recent paper from DeepMind (On the Theoretical Limitations of Embedding-Based...
Building AI Products is Easy Now. Building AI Businesses is Harder Than Ever
# The Great AI Expertise Paradox: Why Building Better Products Just Got Harder
Beyond the LEGO: Why MCP Connectors Alone Can’t Build True Knowledge Agents
Preamble – Everyone’s excited about MCP (Model-Context Protocol) because it makes wiring apps together feel like LEGO. But does that mean building a knowledge agent is now trivial? This post builds on my last two posts on precision recall c...
Why Most Agentic AI Misses the Point — And What We’re Doing Differently
If you’ve followed the recent hype around agentic AI, you’ve likely seen the same story told in dozens of ways:
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Authors
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Academic turned serial entrepreneur. Building Seamless Information Intelligence for Enterprises powered by AI
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