Kuldeep Paul

Kuldeep Paul

Agentic AI | LLM | Product Management | Product Marketing | Data Science | SaaS
Top 10 Best Tools and Platforms for Building State-of-the-Art RAG Pipelines and Applications: A Comprehensive Guide

Top 10 Best Tools and Platforms for Building State-of-the-Art RAG Pipelines and Applications: A Comprehensive Guide

Introduction Retrieval-Augmented Generation (RAG) has emerged as a foundational approach for building advanced AI applications that combine the strengths of large language models (LLMs) with external knowledge sources. RAG pipelines empower applications to retrieve relevant information from vast datasets and generate precise, context-aware responses, making them essential for enterprise use-cases,
Kuldeep Paul
How to Observe Your RAG Applications in Production: A Comprehensive Guide with Code Examples

How to Observe Your RAG Applications in Production: A Comprehensive Guide with Code Examples

Introduction Retrieval-Augmented Generation (RAG) systems have become foundational in enterprise AI, combining retrieval from proprietary knowledge-bases with large language model generation to deliver grounded, contextual answers to queries. As these systems become mission critical and deeply embedded in enterprise workflows, the challenge shifts from just building functional systems to ensuring
Kuldeep Paul
How to Implement Observability in Multi-Step Agentic Workflows: A Technical Guide with Code Examples

How to Implement Observability in Multi-Step Agentic Workflows: A Technical Guide with Code Examples

Introduction Observability is the backbone of reliable, scalable, and trustworthy AI systems. As AI applications evolve from simple, single-step chatbots to complex, multi-step agentic workflows (incorporating RAG pipelines, tool calls, and multi-turn conversations) the need for robust observability becomes paramount. This blog provides a comprehensive, technical walkthrough for implementing observability
Kuldeep Paul