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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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My AI agent failed obvious tasks, and 49% fewer retrieval misses changed how I debugged it

My AI agent failed obvious tasks, and 49% fewer retrieval misses changed how I debugged it

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6 min read
From CAN Bus to RAG Pipelines:: Why I build?

From CAN Bus to RAG Pipelines:: Why I build?

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3 min read
Let’s Break Down a Full-Stack RAG Pipeline With React, Node.js & MongoDB

Let’s Break Down a Full-Stack RAG Pipeline With React, Node.js & MongoDB

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Comments 5
3 min read
Bringing scattered sources into a single search — the unified knowledge workspace UseSources

Bringing scattered sources into a single search — the unified knowledge workspace UseSources

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12 min read
How I Built a NIST AI RMF-Compliant RAG System for Regulated Domains

How I Built a NIST AI RMF-Compliant RAG System for Regulated Domains

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5 min read
GPT-4o API Costs Dropped 50% - How to Recalculate Your AI Budget

GPT-4o API Costs Dropped 50% - How to Recalculate Your AI Budget

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2 min read
I used my agent's memory 1,112 times and I don't know if it helped

I used my agent's memory 1,112 times and I don't know if it helped

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4 min read
RAG Framework with the Infra Lens

RAG Framework with the Infra Lens

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3 min read
A Token Budget is an Architectural Constraint

A Token Budget is an Architectural Constraint

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6 min read
RAG Hallucination Diagnosis: Evidence Gating Beats Embeddings for Ask-Your-Docs Chatbot Answers

RAG Hallucination Diagnosis: Evidence Gating Beats Embeddings for Ask-Your-Docs Chatbot Answers

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7 min read
An LLM judge cannot be a build gate, and it is not about the cost

An LLM judge cannot be a build gate, and it is not about the cost

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3 min read
Base, Chat and Reasoning Models: How Are They Different?

Base, Chat and Reasoning Models: How Are They Different?

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3 min read
Architecting for AI-Native Platforms: RAG, LLM Orchestration, and Agentic Patterns

Architecting for AI-Native Platforms: RAG, LLM Orchestration, and Agentic Patterns

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8 min read
Building a Hybrid RAG System: Combining Neo4j Graph Memory with Vector Search

Building a Hybrid RAG System: Combining Neo4j Graph Memory with Vector Search

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3 min read
Your eval thresholds will not catch the regression, and here is the arithmetic

Your eval thresholds will not catch the regression, and here is the arithmetic

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3 min read
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