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# rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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How a RAG Agent Helped My Father's Shoulder Treatment (And Saved ₹30,000).
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How a RAG Agent Helped My Father's Shoulder Treatment (And Saved ₹30,000).

4
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5 min read
I Built an AI Ops Assistant That Replaced $2,400/month in SaaS — In 3 Days, for Under $100/month
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I Built an AI Ops Assistant That Replaced $2,400/month in SaaS — In 3 Days, for Under $100/month

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9 min read
The RAG System That Retrieved Perfect Chunks (But Answered Wrong Anyway)
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The RAG System That Retrieved Perfect Chunks (But Answered Wrong Anyway)

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4 min read
Building an Explainable Graph RAG System with SAGE (JSON-LD, Percentile Pruning, Multi-Hop Retrieval)

Building an Explainable Graph RAG System with SAGE (JSON-LD, Percentile Pruning, Multi-Hop Retrieval)

2
Comments 1
3 min read
The RAG System That Mixed Documentation From Different Products (And Created Frankenstein Instructions)
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The RAG System That Mixed Documentation From Different Products (And Created Frankenstein Instructions)

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5 min read
The RAG System That Found Contradicting Answers (And Confidently Picked The Wrong One)
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The RAG System That Found Contradicting Answers (And Confidently Picked The Wrong One)

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4 min read
Building an Autonomous RFP Response Engine with Python
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Building an Autonomous RFP Response Engine with Python

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5 min read
Synthetic Benchmarks Are Clean. Agent Workflows Are Not.

Synthetic Benchmarks Are Clean. Agent Workflows Are Not.

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2 min read
Beyond RAG: Building Self Healing Vector Indexes with Elasticsearch for Production Grade Agentic Systems
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Beyond RAG: Building Self Healing Vector Indexes with Elasticsearch for Production Grade Agentic Systems

2
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13 min read
Why I Split One LangGraph Agent into Four Running in Parallel

Why I Split One LangGraph Agent into Four Running in Parallel

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6 min read
Understanding LangChain and Vector Embeddings: The Power Duo of Modern AI Applications
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Understanding LangChain and Vector Embeddings: The Power Duo of Modern AI Applications

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5 min read
RAG From Scratch: Build a System That Answers Questions From Your Docs

RAG From Scratch: Build a System That Answers Questions From Your Docs

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5 min read
Elasticsearch: Best Memory for Agents

Elasticsearch: Best Memory for Agents

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9 min read
The FAQ Bot That Made Up Answers When It Couldn’t Find Real Ones
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The FAQ Bot That Made Up Answers When It Couldn’t Find Real Ones

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4 min read
Hybrid Search for E-commerce: When Keywords Alone Fail

Hybrid Search for E-commerce: When Keywords Alone Fail

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3 min read
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