Sendil Sadasivam

Spring Boot, Microservices, Cloud Native, K8s, AWS, Azure, Kafka, Cassandra, Solution Architecture, Terraform, NFR Design.

[Sendil Sadasivam @ArchitectSendil]

https://t.co/EZXXfxQ8mN ..Headless Data Architecture - Deep Dive

[Sendil Sadasivam @ArchitectSendil]

The Iceberg Bypass Scaling Graph Architecture https://t.co/HNDvnfLhXL via @YouTube

[Sendil Sadasivam @ArchitectSendil]

Anatomy of a Query https://t.co/fHQAzQJZ7s via @YouTube

[Sendil Sadasivam @ArchitectSendil]

The Composable AI Pipeline 1 https://t.co/m2RZ4QE1xm via @YouTube

[Sendil Sadasivam @ArchitectSendil]

Kinetic Graph is experimentation combining Graph and Vector Store to fuse the response https://t.co/8dBh0qzvWV

[Nirmala Sitharaman Office @nsitharamanoffc]

Hon’ble Prime Minister Shri @narendramodi announced the Next-Generation GST Reforms in his Independence Day address from the ramparts of Red Fort.

Working on the same principle, the GST Council has approved significant reforms today.

These reforms have a multi-sectoral and multi-thematic focus, aimed at ensuring ease of living for all citizens and ease of doing business for all.

#NextGenGST

[Sendil Sadasivam @ArchitectSendil]

I just published The Role of Graphs and Semantics in Next-Generation AI https://t.co/Asjfw8ggt5

[Sendil Sadasivam @ArchitectSendil]

FireDucks: An Accelerated Fully Compatible Pandas Library

Source: KDnuggets
https://t.co/tjJPOSTw6S

Shared via the Google App

[Sendil Sadasivam @ArchitectSendil]

Liquid AI is revolutionizing LLMs to work on edge devices like smartphones with new ‘Hyena Edge’ model https://t.co/qrZEAXARsm via @VentureBeat

[Sendil Sadasivam @ArchitectSendil]

Liquid AI is revolutionizing LLMs to work on edge devices like smartphones with new ‘Hyena Edge’ model https://t.co/qrZEAXBphU via @VentureBeat

[Sendil Sadasivam @ArchitectSendil]

Excited to share I’m dropping new resources on @Topmate.

And I'm giving it for FREE for 24 hours. After which, it will cost [ ].

To get it:

1. Like (and retweet)

2. Comment

I'll DM you the FREE code.

https://t.co/No1vvWLhcQ

[Femke Plantinga @femke_plantinga]

Confused about the difference between MCP and Function Calling lately?

Are they competing standards at all? (Let’s break it down!)

The short answer: 𝐭𝐡𝐞𝐲'𝐫𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐫𝐲, not competing.

𝗪𝗵𝗮𝘁 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 𝗱𝗼𝗲𝘀:
𝟭. Enables LLMs to identify when to use external tools
𝟮. Structures parameters for tool execution
𝟯. Works within a single application context
𝟰. Leaves the process of running the tool and figuring out how to do so, to you

𝗪𝗵𝗮𝘁 𝗠𝗖𝗣 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝘀:
𝟭. Standardizes how tools are exposed and discovered
𝟮. Creates a consistent protocol for tool hosting
𝟯. Enables ecosystem-wide tool sharing
𝟰. Separates tool implementation from consumption

❗️ 𝗧𝗵𝗲 𝗸𝗲𝘆 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲:
Function calling is about WHAT and WHEN to use a tool.
MCP is about HOW tools are served and discovered in a standardized way.

𝗧𝗵𝗶𝗻𝗸 𝗼𝗳 𝗶𝘁 𝘁𝗵𝗶𝘀 𝘄𝗮𝘆:
➡️ Function calling: "I need to search the web now"
➡️ MCP: "Here's how any tool can be consistently available to any AI system"

𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀:
MCP could become the "REST of AI tools" - a ubiquitous standard that prevents ecosystem fragmentation. It allows developers to focus on building great tools rather than reinventing hosting patterns.

𝗛𝗼𝗻𝗲𝘀𝘁 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝘀:
❗️ At the end of the day we are still serving tools for LLMs VIA MCP
❗️ As AI systems grow more complex, we need standardized protocols like MCP for interoperability
❗️ The future is not about choosing between them, but using them together effectively
❗️ Companies that embrace both will build more robust AI systems faster

Ready to try MCP yourself? We just launched our open-source MCP server for Weaviate! Makes adding vector search to any AI system super simple.
Check it out here: https://t.co/BUiuPzptlC

Now I’m curious: Are you implementing MCP in your projects, or sticking with basic function calling?

[Sendil Sadasivam @ArchitectSendil]

https://t.co/7NcNdpxwu9

[Sendil Sadasivam @ArchitectSendil]

https://t.co/5CjdlHfskE

[Sendil Sadasivam @ArchitectSendil]

https://t.co/RRVUbvydG7

[Sendil Sadasivam @ArchitectSendil]

I just published Liquid Clusters in Databricks https://t.co/EjcblVq6XX

[Sendil Sadasivam @ArchitectSendil]

I just published Graph QL Mesh https://t.co/ZyFEU9uaN5

[Sendil Sadasivam @ArchitectSendil]

Thanks for perplexity to generate and share the content with everyone. https://t.co/xdNz2WGVUd

[Sendil Sadasivam @ArchitectSendil]

System Design Newsletter https://t.co/aoYP3OBkRe

[Sendil Sadasivam @ArchitectSendil]

I just published Cloud Native Systems and its Design Pattern https://t.co/xojATwUMB2