Vikram Singh

Table of Contents Training with PyTorch Lightning: Structured MLOps Development Why PyTorch Lightning Improves Reproducible MLOps Training Pipelines Configuring Your Development Environment Project Structure PyTorch LightningDataModule Explained: Building Efficient Data Pipelines PyTorch LightningModule Explained: Building Modular Deep Learning Models Using…

Table of Contents RAG Observability with Langfuse, vLLM, and FAISS Introduction to Production-Grade RAG and LLM Observability RAG Observability Architecture with Langfuse, vLLM, and FAISS Project Setup Building a Langfuse-Traced Retriever with FAISS Building a Traced LLM Wrapper for vLLM…

Table of Contents Run an Apache Airflow DAG with Docker Compose and PostgreSQL Project Structure PDF Parsing and Text Chunking Logic for Airflow DAG Docker Orchestration and Runtime for Airflow and FastAPI Running the Apache Airflow and FastAPI Document Ingestion…

Table of Contents Apache Airflow Document Ingestion Pipeline for RAG Systems Introduction to Production-Grade Document Ingestion Pipelines Why Airflow Instead of Cron Jobs or Celery? Apache Airflow Document Ingestion Pipeline Architecture Component 1: FastAPI Ingestion Service Component 2: Apache Airflow…

Table of Contents Manual Tracing, Scores, and Evaluation with Langfuse (Self-Hosted) Why Manual Tracing Matters for LLM Observability Decorator vs Manual Tracing: When to Use Which Manual Tracing with the Langfuse Low-Level API Why Manual Tracing Matters (Even If You…

Table of Contents LLM Observability with Self-Hosted Langfuse and vLLM Introduction to LLM Observability with Langfuse How Langfuse Fits into an LLM Observability Stack Langfuse Architecture for LLM Observability Why Understanding LLM Observability Architecture Matters Setting Up a Self-Hosted Langfuse…

Table of Contents Semantic Caching for LLMs: TTLs, Confidence, and Cache Safety Why Semantic Caching for LLMs Requires Production Hardening Cache TTL in Semantic Caching: Preventing Stale LLM Responses MLOps Project Structure for Semantic Caching with FastAPI and Redis How…

Table of Contents Semantic Caching for LLMs: FastAPI, Redis, and Embeddings Introduction: Why Semantic Caching Matters for LLM Systems How Semantic Caching Works for LLMs: Embeddings and Similarity Search Explained Semantic Caching Architecture and Request Flow Configuring Your Environment for…

Table of Contents Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing Introduction to MLOps Testing: Building Reliable ML Systems with Pytest Why Testing Is Non-Negotiable in MLOps What You Will Learn: Pytest, Fixtures, and Load Testing for MLOps From…