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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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10 Years of Blood Reports into One Graph: Building a Personal Medical Knowledge Base with Unstructured.io, Neo4j, and LlamaIndex

10 Years of Blood Reports into One Graph: Building a Personal Medical Knowledge Base with Unstructured.io, Neo4j, and LlamaIndex

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3 min read
From Naive to Agentic: A Developer's Guide to RAG Architectures
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From Naive to Agentic: A Developer's Guide to RAG Architectures

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3 min read
I built a RAG platform because I was tired of spending 15 minutes searching for team docs

I built a RAG platform because I was tired of spending 15 minutes searching for team docs

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3 min read
From Flat Files to a Living Memory: Building Graph-Based Semantic Memory for PocketPaw
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From Flat Files to a Living Memory: Building Graph-Based Semantic Memory for PocketPaw

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6 min read
From Naive to Agentic: The Complete RAG Evolution in 21 Patterns

From Naive to Agentic: The Complete RAG Evolution in 21 Patterns

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8 min read
A Three-Layer Memory Architecture for LLMs (Redis + Postgres + Vector) MCP

A Three-Layer Memory Architecture for LLMs (Redis + Postgres + Vector) MCP

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2 min read
How I used DDD and hexagonal architecture to build klay+ — a flexible, provider-agnostic RAG infrastructure you can plug into any project.
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How I used DDD and hexagonal architecture to build klay+ — a flexible, provider-agnostic RAG infrastructure you can plug into any project.

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5 min read
I Built an Open Source AI Memory Layer. The Legacy File System Will Eventually Die.

I Built an Open Source AI Memory Layer. The Legacy File System Will Eventually Die.

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3 min read
I Built a Knowledge Graph Into the Retrieval Pipeline and Then Dropped It in Production

I Built a Knowledge Graph Into the Retrieval Pipeline and Then Dropped It in Production

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5 min read
Index-RAG: Citation-first approach to RAG
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Index-RAG: Citation-first approach to RAG

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5 min read
# The 5 memory problems for agents
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# The 5 memory problems for agents

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11 min read
When CLAUDE.md Stops Working: Adding Vector Memory to Claude Code

When CLAUDE.md Stops Working: Adding Vector Memory to Claude Code

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10 min read
AIGoat - AI Security Playground to Attack and Defend LLMs. All Running Locally
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AIGoat - AI Security Playground to Attack and Defend LLMs. All Running Locally

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3 min read
How I Built a Hallucination Detector for RAG Pipelines in Python

How I Built a Hallucination Detector for RAG Pipelines in Python

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3 min read
The architecture of persistent AI memory: Beyond simple vector search
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The architecture of persistent AI memory: Beyond simple vector search

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2 min read
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