Monu Kumar Modi
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Monu Kumar Modi

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5 articles

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Technical blueprint illustrating document retrieval and reranking
02 · RNK4VCTR9July 27, 2026

Reranking Vector Search: How Rerankers Improve RAG

Learn how two-stage retrieval with cross-encoder rerankers dramatically improves RAG accuracy, latency tradeoffs, and production deployment patterns.

ragvector-searchrerankingllm
Retrieval augmented generation pipeline diagram
12 · RAGPRODJuly 15, 2025

RAG Architecture Production Patterns: Retrieval, Ranking, and Evaluation

Design production RAG systems with chunking strategies, hybrid search, reranking, caching, and continuous evaluation pipelines.

llmragvector-searchembeddingsproduction-ai
AI prompt interface with structured output fields
11 · PROMPTSApril 30, 2025

Prompt Engineering for Production: Patterns Beyond Basic Instructions

Build reliable LLM features with structured prompts, few-shot design, chain-of-thought guardrails, evaluation, and versioning in production.

gen-aiprompt-engineeringllmproductionai-applications
Server infrastructure representing an LLM gateway
03 · LLMG8TW4YMarch 8, 2025

Building an LLM Gateway at Scale

How to centralize LLM access for thousands of developers with intelligent routing, caching, and cost controls across multiple model providers.

llmgatewayinfrastructurescale
Multiple AI agents collaborating
04 · AGNT5PR0DJanuary 15, 2025

Multi-Agent Systems in Production

Practical patterns for orchestrating autonomous agents with tool use, memory, and human-in-the-loop guardrails in real-world deployments.

agentslangchainproductionllm