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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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KoutenDB: Data Locality as a First-Stage Retrieval Index

KoutenDB: Data Locality as a First-Stage Retrieval Index

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6 min read
Mitigating Hallucinations in Theology AI: Implementing Groundedness Evaluation Pipelines

Mitigating Hallucinations in Theology AI: Implementing Groundedness Evaluation Pipelines

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7 min read
How to Build a RAG Knowledge Base from Any Documentation Site in 5 Minutes

How to Build a RAG Knowledge Base from Any Documentation Site in 5 Minutes

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2 min read
How to move from an LLM demo to a production-ready healthcare AI agent

How to move from an LLM demo to a production-ready healthcare AI agent

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6 min read
KoutenDB v0.6.0: Locality Validation, Topology Remapping, and Safer Query Boundaries

KoutenDB v0.6.0: Locality Validation, Topology Remapping, and Safer Query Boundaries

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4 min read
Bedrock Managed Knowledge Base: Anatomy of a Managed RAG Pipeline

Bedrock Managed Knowledge Base: Anatomy of a Managed RAG Pipeline

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10 min read
Contract Intelligence on AWS: Field-Notes Architecture

Contract Intelligence on AWS: Field-Notes Architecture

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10 min read
Building a RAG System from Scratch with pgvector and Gemini — Implementation

Building a RAG System from Scratch with pgvector and Gemini — Implementation

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5 min read
Building a Free AI PDF Assistant: How I Solved Parsing Issues and Minimized LLM Costs

Building a Free AI PDF Assistant: How I Solved Parsing Issues and Minimized LLM Costs

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3 min read
Adding streaming to my RAG pipeline — three SDKs, three different APIs

Adding streaming to my RAG pipeline — three SDKs, three different APIs

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5 min read
From Code to Governance: The Complete Guide to LLM Token Optimization

From Code to Governance: The Complete Guide to LLM Token Optimization

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8 min read
When AI Is Confidently Wrong, Who's Responsible?

When AI Is Confidently Wrong, Who's Responsible?

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3 min read
Stop Sending the Raw User Prompt Straight to Your Retriever

Stop Sending the Raw User Prompt Straight to Your Retriever

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2 min read
How to Evolve a Linear LangChain RAG Pipeline into a Stateful, Multi-Agent Consensus Architecture

How to Evolve a Linear LangChain RAG Pipeline into a Stateful, Multi-Agent Consensus Architecture

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1 min read
Stateless LLMs Are a Problem for EdTech — Here's How I Fixed It With a Graph-Vector Memory Layer

Stateless LLMs Are a Problem for EdTech — Here's How I Fixed It With a Graph-Vector Memory Layer

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2 min read
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