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Parth Sarthi Sharma

Lead Software Engineer working on AI platforms, agentic systems, and cloud-native architectures. I write about: • Distributed systems & system design • LangChain, LangGraph, and real-world AI agents

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Lead Software Engineer

Local RAG vs Cloud RAG: What Changes When You Leave the Demo

Local RAG vs Cloud RAG: What Changes When You Leave the Demo

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3 min read
Prompt Routing & Context Engineering: Letting the System Decide What It Needs

Prompt Routing & Context Engineering: Letting the System Decide What It Needs

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3 min read
Simple RAG vs Agentic RAG: What Problem Are You Actually Solving?

Simple RAG vs Agentic RAG: What Problem Are You Actually Solving?

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2 min read
Chunking, Batching & Indexing: The Hidden Costs of RAG Systems

Chunking, Batching & Indexing: The Hidden Costs of RAG Systems

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2 min read
Why “Lost in the Middle” Breaks Most RAG Systems

Why “Lost in the Middle” Breaks Most RAG Systems

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2 min read
Loaders, Splitters & Embeddings — How Bad Chunking Breaks Even Perfect RAG Systems

Loaders, Splitters & Embeddings — How Bad Chunking Breaks Even Perfect RAG Systems

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3 min read
How LLMs Actually “See” Context (Tokens, Chunks, Windows)

How LLMs Actually “See” Context (Tokens, Chunks, Windows)

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3 min read
Vector Dimensions, Cosine Similarity, Dot Product — and Why Your Distance Metric Silently Ruins Relevance

Vector Dimensions, Cosine Similarity, Dot Product — and Why Your Distance Metric Silently Ruins Relevance

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2 min read
Dense vs Sparse Vector Stores: Which One Should You Use — and When?

Dense vs Sparse Vector Stores: Which One Should You Use — and When?

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2 min read
ReAct vs Tool Calling: Why Your LLM Should Decide — But Never Execute

ReAct vs Tool Calling: Why Your LLM Should Decide — But Never Execute

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2 min read
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