SubhamSubham

Enterprise Toolkit

AI tools for production scale and rigorous compliance.

Building Gen AI applications that serve millions of requests requires more than just API wrappers. This is the stack I use to orchestrate, embed, and scale intelligent systems securely.

Foundation Models & Managed AI Services

AWS Bedrock

Fully managed service offering high-performing foundation models (FMs) and a broad set of capabilities to build Gen AI apps.

Azure OpenAI

Enterprise-grade OpenAI models with advanced role-based access control (RBAC), private networks, and regional availability.

Anthropic Claude

Highly capable foundation models built with constitutional AI, ideal for complex reasoning and enterprise compliance.

Google Vertex AI

Unified ML platform offering foundation models, tuning, and enterprise search/conversation capabilities.

Vector Databases & Retrieval

Pinecone

Fully managed vector database designed for high-performance AI applications, enabling fast and scalable semantic search.

Qdrant

High-performance, massive-scale vector database and search engine, available fully managed or open-source.

Milvus

Open-source vector database built for scalable similarity search and AI applications.

Orchestration & Frameworks

LangChain

Framework for developing applications powered by language models, providing composability and extensive integrations.

LlamaIndex

Data framework for LLMs, specialized in ingestion, structuring, and retrieving private or domain-specific data.

Data, Governance & Fine-Tuning

Databricks

Unified data analytics platform integrating AI/ML workflows, governance, and large-scale data processing.

Hugging Face

Enterprise Hub for managing, fine-tuning, and deploying open-source models with dedicated hardware.

Scale AI

Data platform providing high-quality training data and RLHF for enterprise AI models.