Meesho · Adit2607 · Feb 16, 2026 · Feb 14, 2026 · Feb 14, 2026 · Feb 14, 2026
diff --git a/README.md b/README.md
@@ -1,7 +1,9 @@
-# BharatMLStack
-
 <div align="center">
-  <img src="assets/bharatmlstack.jpg" alt="BharatMLStack Logo" width="400"/>
+  <picture>
+    <source media="(prefers-color-scheme: dark)" srcset="assets/bharatmlstack-logo.png" />
+    <source media="(prefers-color-scheme: light)" srcset="assets/bharatmlstack-logo.png" />
+    <img src="assets/bharatmlstack-logo.png" alt="BharatMLStack" width="100%"/>
+  </picture>
 </div>
 
 
@@ -20,131 +22,105 @@
 
 ## What is BharatMLStack?
 
-BharatMLStack is a comprehensive, production-ready machine learning infrastructure platform designed to democratize ML capabilities across India and beyond. Our mission is to provide a robust, scalable, and accessible ML stack that empowers organizations to build, deploy, and manage machine learning solutions at massive scale.
+BharatMLStack is a production-ready, cloud-agnostic ML infrastructure platform that powers real-time feature serving, model inference, and embedding search at massive scale. Built and battle-tested at [Meesho](https://meesho.com), it is designed to help organizations ship ML to production faster, cheaper, and more reliably.
 
 ## Our Vision
 
-- 🎯 **Democratize Machine Learning**: Make advanced ML infrastructure accessible to organizations of all sizes
-- 🚀 **Scale Without Limits**: Built to handle millions of requests per second with enterprise-grade reliability
-- 🇮🇳 **Bharat-First Approach**: Optimized for Indian market needs while maintaining global standards
-- ⚡ **Real-Time Intelligence**: Enable instant decision-making with sub-millisecond feature serving
-- 🔧 **Developer-Friendly**: Intuitive APIs and interfaces that accelerate ML development cycles
+BharatMLStack is built around **four core tenets**:
 
-## Star History
+### Workflow Integration & Productivity
+> Ship ML to production faster than ever.
 
-[![Star History Chart](https://api.star-history.com/svg?repos=Meesho/BharatMLStack&type=Date)](https://www.star-history.com/#Meesho/BharatMLStack&Date)
+- **3x faster** experiment-to-deployment cycles
+- **95% reduction** in model onboarding time
 
-## Running at Million Scale
+### Cloud-Agnostic & Lock-In Free
+> Run anywhere. Own your stack.
 
-BharatMLStack is battle-tested in production environments, powering:
-- **1M+ feature vector retrievals per second** across distributed deployments
-- **Sub-10ms latency** for real-time feature retrieval
-- **99.99% uptime** with auto-scaling and fault tolerance
-- **Petabyte-scale** feature storage and processing
-- **Multi-region deployments** with global load balancing
+- Runs across **public cloud, on-prem, and edge**
+- Kubernetes-native with zero vendor lock-in
 
-## Document
-- [Doc](https://meesho.github.io/BharatMLStack/)
-- [Blogs](https://meesho.github.io/BharatMLStack/blog)
-## Core Components
+### Economic Efficiency
+> Do more with less.
 
-### 📋 Current Releases
-
-| Component | Version | Description |
-|-----------|---------|-------------|
-| 🚀 **Horizon** | `v1.0.0` | Control Plane & Backend |
-| 🎨 **Trufflebox UI** | `v1.0.0` | ML Management Console |
-| 🗄️ **Online Feature Store** | `v1.0.0` | Real-Time Features |
-| 🐹 **Go SDK** | `v1.0.0` | Go Client Library |
-| 🐍 **Python SDK** | `v1.0.1` | Python Client Library |
-| 🚀 **Numerix** | `v1.0.0` | Mathematical Compute Engine |
-
-### 🚀 Horizon - Control Plane & Backend
-The central control plane for BharatMLStack components, serving as the backend for Trufflebox UI.
-- **Component orchestration**: Manages and coordinates all BharatMLStack services
-- **API gateway**: Unified interface for all MLOps and workflows
-
-### 🎨 Trufflebox UI - ML Management Console  
-Modern web interface for managing ML models, features, and experiments. Currently it supports:
-- **Feature Registry**: Centralized repository for feature definitions and metadata
-- **Feature Cataloging**: Discovery and search capabilities for available features
-- **Online Feature Store Control System**: Management interface for feature store operations
-- **Approval Flows**: Workflow management for feature deployment and changes 
-
-### 🗄️ Online Feature Store - Real-Time Features
-High-performance feature store for real-time ML inference and training.
-- **Real-time serving**: Sub-10ms feature retrieval at scale  
-- **Streaming ingestion**: Process millions of feature updates per second
-- **Feature Backward Compatible Versioning**: Track and manage feature evolution
-- **Multi-source integration**: Push from stream, batch and real-time sources
-
-### 🗄️ Numerix - Mathematical Compute Engine
-High-performance feature store for real-time ML inference and training.
-- **Matrix Operations**: High-performance matrix computations and transformations
-- **gRPC API**: Fast binary protocol for efficient data transfer
-- **Multi-format Support**: String and byte-based matrix formats
-- **Optimized Performance**: Built with Rust for maximum efficiency
-- **Scalable Architecture**: Designed for distributed processing
-
-## Key Differentiators
-
-- ✨ **Production-Ready**: Battle-tested components used in high-traffic production systems
-- 🌐 **Cloud Agnostic**: Kubernetes-native, so deploy on the cloud you love
-- 📊 **Observability**: Built-in monitoring, logging
+- **60–70% lower** infrastructure costs vs hyperscaler managed services
+- Optimized resource utilization across CPU and GPU workloads
 
-## Quick Start
+### Availability & Scalability
+> Enterprise-grade reliability at internet scale.
 
-🚀 **Get started with BharatMLStack in minutes!**
+- **99.99% uptime** across clusters
+- **1M+ QPS** with low latency
 
-For comprehensive setup instructions, examples, and deployment guides, see our detailed Quick Start documentation:
+## Designed Truly for Bharat Scale
 
-📖 **[Quick Start Guide →](./quick-start/README.md)**
+Built for the demands of one of the world's largest e-commerce platforms:
 
-### What You'll Find:
+| Metric | Performance |
+|--------|-------------|
+| **Feature Store** | 2.4M QPS (batch of 100 id lookups) |
+| **Model Inference** | 1M+ QPS |
+| **Embedding Search** | 500K QPS |
+| **Feature Retrieval Latency** | Sub-10ms |
 
-- **🐳 Docker Setup**: Complete stack deployment with Docker Compose
-- **📊 Sample Data**: Pre-configured examples to get you started
-- **🔍 Health Checks**: Verify your deployment is working
-- **📝 Step-by-Step Tutorials**: From installation to first feature operations
+## Core Components
 
-### TL;DR - One Command Setup:
+| Component | Description | Version | Docs |
+|-----------|-------------|---------|------|
+| **[TruffleBox UI](./trufflebox-ui/)** | Web console for feature registry, cataloging, and approval workflows | `v1.3.0` | [Docs](https://meesho.github.io/BharatMLStack/trufflebox-ui/v1.0.0/userguide) |
+| **[Online Feature Store](./online-feature-store/)** | Sub-10ms feature retrieval at millions of QPS with streaming ingestion | `v1.2.0` | [Docs](https://meesho.github.io/BharatMLStack/category/online-feature-store) |
+| **[Inferflow](./inferflow/)** | DAG-based real-time inference orchestration for composable ML pipelines | `v1.0.0` | [Docs](https://meesho.github.io/BharatMLStack/category/inferflow) |
+| **[Numerix](./numerix/)** | Rust-powered math compute engine for high-performance matrix ops | `v1.0.0` | [Docs](https://meesho.github.io/BharatMLStack/category/numerix) |
+| **[Skye](./skye/)** | Vector similarity search with pluggable backends | `v1.0.0` | [Docs](https://meesho.github.io/BharatMLStack/category/skye) |
+| **[Go SDK](./go-sdk/)** | Go client for Feature Store, Interaction Store, and logging | `v1.3.0` | [Docs](https://meesho.github.io/BharatMLStack/category/go-sdk) |
+| **[Python SDK](./py-sdk/)** | Python client libraries for Feature Store and inference logging | `v1.0.1` | [Docs](https://meesho.github.io/BharatMLStack/category/python-sdk) |
+| **[Interaction Store](./interaction-store/)** | ScyllaDB-backed store for user interaction signals at sub-10ms | — | — |
+| **[Horizon](./horizon/)** | Control plane that orchestrates all services and powers TruffleBox UI | `v1.3.0` | — |
+
+> Full documentation at [meesho.github.io/BharatMLStack](https://meesho.github.io/BharatMLStack/) | [Blogs](https://meesho.github.io/BharatMLStack/blog)
+- [All Blog Posts](https://meesho.github.io/BharatMLStack/blog)
+
+## Quick Start
 
 ```bash
-# Clone and start the complete stack
 git clone https://github.com/Meesho/BharatMLStack.git
 cd BharatMLStack/quick-start
-ONFS_VERSION=<version> HORIZON_VERSION=<version> TRUFFLEBOX_VERSION=<version> NUMERIX_VERSION=<version> ./start.sh
+#Set versions
+ONFS_VERSION=v1.2.0 HORIZON_VERSION=v1.3.0 TRUFFLEBOX_VERSION=v1.3.0 NUMERIX_VERSION=v1.0.0
+
+./start.sh
 ```
 
-Then follow the [Quick Start Guide](./quick-start/README.md) for detailed setup and usage instructions.
+For step-by-step setup, Docker Compose details, sample data, and health checks, see the full **[Quick Start Guide →](./quick-start/README.md)**.
 
 ## Architecture
 
-BharatMLStack follows a microservices architecture designed for scalability and maintainability. Several components are to be open-sourced
-
 <div align="center">
-  <img src="assets/bharatmlstack-layered.png" alt="BharatMLStack Logo" width="1000"/>
+  <img src="assets/bharatmlstack-architecture.png" alt="BharatMLStack Architecture" width="1000"/>
 </div>
 
-### 🚀 Quick Navigation
+## Use-Cases
+
+BharatMLStack powers a wide range of ML-driven applications:
 
-| Component | Documentation | Quick Start |
-|-----------|--------------|-------------|
-| **Online Feature Store** | [Docs](https://meesho.github.io/BharatMLStack/category/online-feature-store) | [Setup](./quick-start/README.md) |
-| **Go SDK** | [Docs](./go-sdk/README.md) | [Examples](./go-sdk/README.md) |
-| **Python SDK** | [Docs](./py-sdk/README.md) | [Quickstart](./py-sdk/README.md) |
-| **User Guide** | [Docs](https://meesho.github.io/BharatMLStack/trufflebox-ui/v1.0.0/userguide) | [Setup](./quick-start/README.md) |
-| **Numerix** | [Docs](https://meesho.github.io/BharatMLStack/category/numerix) | [Setup](./quick-start/README.md) |
+| Use-Case | What BharatMLStack Enables |
+|----------|---------------------------|
+| **Personalized Candidate Generation** | Retrieve and rank millions of candidates in real time using feature vectors and embedding similarity |
+| **Personalized Ranking** | Serve user, item, and context features at ultra-low latency to power real-time ranking models |
+| **Fraud & Risk Detection** | Stream interaction signals and features to detect anomalies and fraudulent patterns in milliseconds |
+| **Image Search** | Run embedding search at 500K QPS to match visual queries against massive product catalogs |
+| **LLM Recommender Systems** | Orchestrate LLM inference pipelines with feature enrichment for next-gen recommendation engines |
+| **DL & LLM Deployments at Scale** | Deploy and scale deep learning and large language models across GPU clusters with Inferflow orchestration |
 
 ## Contributing
 
 We welcome contributions from the community! Please see our [Contributing Guide](CONTRIBUTING.md) for details on how to get started.
 
 ## Community & Support
 
-- 💬 **Discord**: Join our [community chat](https://discord.gg/XkT7XsV2AU)
-- 🐛 **Issues**: Report bugs and request features on [GitHub Issues](https://github.com/Meesho/BharatMLStack/issues)
-- 📧 **Email**: Contact us at [ml-oss@meesho.com](mailto:ml-oss@meesho.com )
+- **Discord**: Join our [community chat](https://discord.gg/XkT7XsV2AU)
+- **Issues**: Report bugs and request features on [GitHub Issues](https://github.com/Meesho/BharatMLStack/issues)
+- **Email**: Contact us at [ml-oss@meesho.com](mailto:ml-oss@meesho.com)
 
 ## License
 

diff --git a/assets/bharatmlstack-architecture.png b/assets/bharatmlstack-architecture.png
diff --git a/assets/bharatmlstack-logo.png b/assets/bharatmlstack-logo.png
diff --git a/docs-src/docs/inferflow/v1.0.0/_category_.json b/docs-src/docs/inferflow/v1.0.0/_category_.json
@@ -1,9 +1,4 @@
 {
-    "label": "v1.0.0",
-    "position": 1,
-    "link": {
-        "type": "generated-index",
-        "description": "Inferflow v1.0.0",
-        "slug": "/inferflow/v1.0.0"
-    }
+  "label": "v1.0.0",
+  "position": 1
 }
diff --git a/docs-src/docs/inferflow/v1.0.0/index.md b/docs-src/docs/inferflow/v1.0.0/index.md
@@ -0,0 +1,14 @@
+---
+title: v1.0.0
+description: Inferflow v1.0.0
+sidebar_position: 0
+slug: /inferflow/v1.0.0
+---
+
+import DocCardList from '@theme/DocCardList';
+
+# Inferflow v1.0.0
+
+Inferflow is a graph-driven feature retrieval and model inference orchestration engine. It dynamically resolves entity relationships via configurable DAGs, retrieves features from the Online Feature Store, and orchestrates model scoring.
+
+<DocCardList />
diff --git a/docs-src/docs/intro.md b/docs-src/docs/intro.md
@@ -0,0 +1,57 @@
+---
+sidebar_position: 0
+title: BharatMLStack Documentation
+slug: intro
+---
+
+# BharatMLStack Documentation
+
+Welcome to the BharatMLStack documentation. BharatMLStack is an open-source, end-to-end ML infrastructure stack built for scale, speed, and simplicity. Explore the components below to get started.
+
+---
+
+## Quick Start
+
+Get up and running with BharatMLStack in minutes. Step-by-step instructions, sample data, and Docker Compose setup for local development and testing.
+
+**[Go to Quick Start &rarr;](/category/quick-start)**
+
+---
+
+## Online Feature Store
+
+Sub-10ms, high-throughput access to machine learning features for real-time inference. Supports batch and streaming ingestion, schema validation, and compact versioned feature groups.
+
+**[Go to Online Feature Store &rarr;](/category/online-feature-store)**
+
+---
+
+## Inferflow
+
+Graph-driven feature retrieval and model inference orchestration engine. Dynamically resolves entity relationships, retrieves features, and orchestrates model scoring — all without custom code.
+
+**[Go to Inferflow &rarr;](/category/inferflow)**
+
+---
+
+## Trufflebox UI
+
+Modern, feature-rich UI framework for MLOps management. Supports feature catalog, user management, and admin operations with approval flows.
+
+**[Go to Trufflebox UI &rarr;](/category/trufflebox-ui)**
+
+---
+
+## SDKs
+
+Client libraries for Go and Python to interact with the Online Feature Store and other platform components. Includes gRPC clients, REST APIs, and Apache Spark integration.
+
+**[Go to SDKs &rarr;](/category/sdks)**
+
+---
+
+## Numerix
+
+High-performance compute engine for ultra-fast element-wise matrix operations. Built in Rust with SIMD acceleration for sub-5ms p99 latency.
+
+**[Go to Numerix &rarr;](/category/numerix)**
diff --git a/docs-src/docs/numerix/_category_.json b/docs-src/docs/numerix/_category_.json
@@ -1,6 +1,6 @@
 {
   "label": "Numerix",
-  "position": 6,
+  "position": 7,
   "link": {
       "type": "generated-index",
       "description": "Numerix is a mathematical compute engine for BharatML Stack. It is used to perform mathematical operations on matrices and vectors."

diff --git a/docs-src/docs/numerix/v1.0.0/_category_.json b/docs-src/docs/numerix/v1.0.0/_category_.json
@@ -1,10 +1,5 @@
 {
   "label": "v1.0.0",
-  "position": 1,
-  "link": {
-    "type": "generated-index",
-    "description": "Numerix v1.0.0",
-    "slug": "/numerix/v1.0.0"
-  }
+  "position": 1
 }
 
diff --git a/docs-src/docs/numerix/v1.0.0/index.md b/docs-src/docs/numerix/v1.0.0/index.md
@@ -0,0 +1,14 @@
+---
+title: v1.0.0
+description: Numerix v1.0.0
+sidebar_position: 0
+slug: /numerix/v1.0.0
+---
+
+import DocCardList from '@theme/DocCardList';
+
+# Numerix v1.0.0
+
+Numerix is a mathematical compute engine for BharatML Stack. It is used to perform mathematical operations on matrices and vectors.
+
+<DocCardList />
diff --git a/docs-src/docs/online-feature-store/v1.0.0/_category_.json b/docs-src/docs/online-feature-store/v1.0.0/_category_.json
@@ -1,9 +1,4 @@
 {
-    "label": "v1.0.0",
-    "position": 1,
-    "link": {
-        "type": "generated-index",
-        "description": "Online Feature Store v1.0.0",
-        "slug": "/online-feature-store/v1.0.0"
-    }
+  "label": "v1.0.0",
+  "position": 1
 }
diff --git a/docs-src/docs/online-feature-store/v1.0.0/index.md b/docs-src/docs/online-feature-store/v1.0.0/index.md
@@ -0,0 +1,14 @@
+---
+title: v1.0.0
+description: Online Feature Store v1.0.0
+sidebar_position: 0
+slug: /online-feature-store/v1.0.0
+---
+
+import DocCardList from '@theme/DocCardList';
+
+# Online Feature Store v1.0.0
+
+A high-performance, scalable, and production-grade feature store built for modern machine learning systems. It supports both real-time and batch workflows, with low-latency feature retrieval.
+
+<DocCardList />
diff --git a/docs-src/docs/predator/_category_.json b/docs-src/docs/predator/_category_.json
@@ -0,0 +1,8 @@
+{
+  "label": "Predator",
+  "position": 7,
+  "link": {
+    "type": "generated-index",
+    "description": "Predator is a scalable, high-performance model inference service built as a wrapper around NVIDIA Triton Inference Server, designed to serve ML models with low latency in Kubernetes, with OnFS and Interflow integration."
+  }
+}
diff --git a/docs-src/docs/predator/v1.0.0/_category_.json b/docs-src/docs/predator/v1.0.0/_category_.json
@@ -0,0 +1,4 @@
+{
+  "label": "v1.0.0",
+  "position": 1
+}