Name: Hyderabad Search and AI Meetup
Start: 2026-03-07T05:30:00.000Z
Location: Hyderabad

## **Hello Jaipur, Meet OpenSearch!**

I’m OpenSearch — yes, that new kid on the block in town 🌆

And on **28th February**, we’re officially launching the **Jaipur chapter of the OpenSearch Community**!

This is not just another meetup.
This is the beginning of a builder-led, open-source-first tech community in Jaipur.

**What you will get :**
✨ Meet experienced professionals from DevOps, Cloud & Data domains
✨ Strong networking opportunities with like-minded builders
✨ Cool swags & community goodies 🎁

**RSVP here : https://awsugjaipur.in/**
**and join us in person!**

Looking forward to seeing you there ☁️🚀

OpenSearch User Group Jaipur

Vanshika Jain

somyapratapsingh.cse27

amita.kashyap.cse

Aditya Soni

Neeraj Meena 

Bhavya Bhargava

neerajkumar001122opt

Abraham A.

OpenSearch Jaipur Chapter Kickoff -  Inaugural Meetup

Rajasthan International Center, Jhalana Doongri, Jaipur

**Join Zoom Meeting**
Open Zoom, click "Join", and use the following meeting ID and passcode to join.
**Meeting ID: 9701 5262 880**
**Passcode:** 960633

Generally, in this meeting we cover all aspects of “Search”, including core search functionalities, query capabilities, resiliency, and relevance. We can also use the time to review the roadmap of various streams, and gather broader feedback on planning and releases.

* We welcome community discussion and contribution.
* We are all learning together, even the organizers of this meeting.
* Agendas may look full; it’s a community meeting, so we can take a tangent.
* Please feel free to introduce yourself to the group, especially if you’re speaking, but if you’re just observing, no pressure.

**Standing Topics**

* Brief intro
* Triage New Issues - [https://github.com/orgs/opensearch-project/projects/45](https://github.com/orgs/opensearch-project/projects/45)
* New Contributors Can Pick Up Issues Here: [https://github.com/orgs/opensearch-project/projects/45/views/1?filterQuery=label%3A%22g](https://github.com/orgs/opensearch-project/projects/45/views/1?filterQuery=label%3A%22g). Comment on an issue you want to work on and ask to be assigned.

**Weekly Topics**

* Put your name next to a topic in the Google Doc or add your own topic: [https://docs.google.com/document/d/1cpGSlQVnzd_J6NoFcBbGf4ykGK31l3h59toZmbxUezw/edit?usp=sharing](https://docs.google.com/document/d/1cpGSlQVnzd_J6NoFcBbGf4ykGK31l3h59toZmbxUezw/edit?usp=sharing)
*

\-\-\-
**One tap mobile:**
US: +12532158782,,97015262880#,,,,\*960633# or +13462487799,,97015262880#,,,,\*960633#

**Or dial:**
**US:** +1 253 215 8782 or +1 346 248 7799 or +1 669 900 6833 or +1 301 715 8592 or +1 312 626 6799 or +1 646 374 8656 or 877 369 0926 (Toll Free) or 855 880 1246 (Toll Free)

**Canada:** +1 647 374 4685 or +1 647 558 0588 or +1 778 907 2071 or +1 204 272 7920 or +1 438 809 7799 or +1 587 328 1099 or 855 703 8985 (Toll Free)

OpenSearch Community & Triage Meetings

Marc Handalian

Michael Froh

Sandesh Kumar

Saurabh Singh

Michael U

atri.sharma

Search Community Meeting - Triage and Backlog Discussion

Online event

Ready to scale your RAG, AI workloads, and search? Join us Thursday 5th March 2026 on AWS TLV Floor 28 for a content-packed session in collaboration with AWS about using OpenSearch for AI-Powered Data Analytics and modern search methods: Semantic Search, S3 Vectors and GraphRAG.

Please register here: https://aws-experience.com/emea/tel-aviv/event/0c9fcbcd-8629-4e99-b4b0-fbca41b978c4

\* How to go beyond Keyword Search with OpenSearch
\* Modernizing Retrieval with Semantic Search and Query Intent Understanding
\* Hybrid search and Agentic RAG
\* Knowledge Graphs, GraphRAG, and Neuro-Symbolic AI
\* Structured intelligence for GenAI
\* Amazon S3 Vectors for vector search at billion scale

Agenda:

**Beyond Keyword Search - Modernize Retrieval with Semantic Search and Beyond with OpenSearch,** Itamar Syn-Hershko, BigData Boutique

Explore how semantic search transforms information retrieval by understanding meaning and context rather than just matching keywords. Learn how OpenSearch's vector engine enables sub-second semantic search across billions of vectors combined with text-search, powering intelligent applications from recommendation engines to conversational search experiences. We'll also discuss sparse vs dense vector embeddings, using LLMs to derive and leverage query intent, and more.

**Unlocking Structured Intelligence for Generative AI with Knowledge Graphs, GraphRAG and Neuro-Symbolic AI,** Baruch Assif Osoveskiy, AWS

Discover how knowledge graphs enhance Retrieval Augmented Generation (RAG) by providing structured, interconnected information for more accurate and explainable AI responses. Learn how GraphRAG combines the power of graph databases with large language models to deliver contextually rich, grounded answers.

**OpenSearch + Amazon S3 Vectors - Cost-Optimized AI-Ready Storage,** Roi Gamliel, AWS

Learn how Amazon S3 Vectors introduces native vector support at cloud scale, reducing storage and query costs by up to 90% compared to traditional vector databases. Discover how to store billions of vectors with sub-second query performance while leveraging S3's industry-leading durability and scalability.

OpenSearch Project Tel Aviv Yafo

Itamar Syn-Hershko

aviad rivlin

ayelet l

Guy Weissgarten

Eran  davidof 

orly

Avigal Partouche

Lev Ozeryansky

Oleg Semyonov

Yonatan Karabel

Ron Haikin

Julian

Amit Michael

Nathan 

Natallie Hen

Yulia Ginzburg

roi.shacham

Yaffa yarden

Dor Rondel

Marina Reysher

AI-Powered Data Analytics Innovation with Vectors, Graphs and Intent

AWS Floor 28

Join the "Storage Triage and Backlog Review" community meeting to review, triage and deep dive on Storage related issues and PRs. Meetings are open-to-all and attendance is encouraged for anyone who hopes to contribute, discuss an issue, or learn more about the project. See [Triaging](https://github.com/opensearch-project/OpenSearch/blob/main/TRIAGING.md) on OpenSearch for more details and FAQs.

**Agenda**

* **Introduction (5 mins)**
* Host’s Intro
* What do we cover here?
* New members Intro
* Meeting Facilitator will host and take [meeting notes](https://docs.google.com/document/d/1WyYAa34bXA843mJJgpYCUORqj96x95Sm2nxktJIhhZo/edit#heading=h.kl4gb0qrnrb5). Meeting facilitators can be any volunteers from the OpenSearch community.
* **For Facilitators: for each issue, before we remove “untriaged” label, check the following:**
* Is it a good first issue
* Who should be the assignee?
* Whats the release target?
* Whats the priority/severity?
* Whats the sizing/effort?
* **Triage New Storage Issues**
* Label:untriaged && label:Storage\* Example :[ https://github.com/orgs/opensearch-project/projects/187/views/2](https://github.com/orgs/opensearch-project/projects/187/views/2)
* **Backlog review and cleanup**
* label:Storage\* Example :[ https://github.com/orgs/opensearch-project/projects/187/views/1](https://github.com/orgs/opensearch-project/projects/187/views/1)
* **New Contributors Can Pick Up Issues -**
* label:"good first issue"
* Comment on an issue you want to work on and ask to be assigned.

**Full Agenda and Meeting Notes** \- https://docs\.google\.com/document/d/1WyYAa34bXA843mJJgpYCUORqj96x95Sm2nxktJIhhZo/edit\#heading=h\.kl4gb0qrnrb5

**Chime Links**

* Join via browser screen share: https://chime.aws/7497763619
* Call in using your phone:
United States Toll-Free (1): +1 855-552-4463
Meeting ID: 7497 76 3619
One-click Mobile Dial-in (United States (1)): +1 206-462-5569,,,7497763619#
United States (1): +1 206-462-5569
International: https://chime.aws/dialinnumbers/
Dial-in attendees must enter \*7 to mute or unmute themselves.

Ranjith Ramachandra

Storage Triage and Backlog Review

## Hyderabad Search and AI Meetup

Hyderabad Search and AI Meetup is a community-driven forum for engineers, architects, data scientists, and technology leaders passionate about Search technologies, Generative AI, and large-scale data systems.
This meetup brings together practitioners working on real-world problems across OpenSearch, Elasticsearch, vector databases, retrieval-augmented generation (RAG), LLM-powered applications, observability, and distributed systems.
Whether you are building high-performance search platforms, designing AI-powered experiences, or scaling data infrastructure, this community is designed to foster learning, collaboration, and innovation.

### What to Expect

* Deep technical talks on Search and AI architectures
* Live demos and real-world implementation case studies
* Discussions on vector search, hybrid search, and RAG systems
* Performance optimization and scaling strategies
* Observability and troubleshooting large-scale clusters
* Networking with Hyderabad’s growing AI and data ecosystem

### Who Should Attend

* Backend engineers and platform teams
* Data engineers and ML practitioners
* DevOps and SRE professionals
* Startup founders and product builders
* Technology enthusiasts exploring Search + AI

### Why Join?

Hyderabad is emerging as a strong hub for AI and data innovation. This meetup creates a space for the local community to exchange ideas, share experiences, and accelerate the adoption of cutting-edge Search and AI technologies.
If you’re building the future of intelligent applications, this is your community.

OpenSearch Project Hyderabad

Abhimithra Karthikeya Surabhi

Priyanshi Omer

vasuupputuri5

Rasheed Ali Shaik

Mani Sankar

Bolisetty Subbarayudu 

Prasad Gummadavelli

naragonianjali

Subhash Konduru

Vivek Goel

khyathi.penjarla

Rishi

Khaja Moinuddin Mohammed

Sasidhar

abhishekverma3459

vinaykumar02207

tummurichakradhar

Sai Nihith

kshav

Srujarathmika

Hyderabad Search and AI Meetup

Hyderabad

OpenSearch Project

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Welcome to the OpenSearch Project Community!

OpenSearch is a scalable, flexible, and extensible open-source software suite for search, analytics, and observability applications licensed under Apache 2.0. Powered by Apache Lucene and driven by the OpenSearch Project community, OpenSearch offers a vendor-agnostic toolset you can use to build secure, high-performance, cost-efficient applications.

Read our [Charter & Guidelines](https://github.com/opensearch-project/community/blob/main/user-groups/charter-guidelines.md).

Kris Freedain

OpenSearch Project

OpenSearch Project

Wer wir sind

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