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

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
Hybrid search inside SurrealDB: one query, vector + keyword + RRF

Hybrid search inside SurrealDB: one query, vector + keyword + RRF

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9 min read
The Prompt Tax Most LLM Teams Are Silently Paying

The Prompt Tax Most LLM Teams Are Silently Paying

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4 min read
RAG and Vector Databases:

RAG and Vector Databases:

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2 min read
I built a GraphRAG demo with FalkorDB’s new SDK, then benchmarked it against Neo4j

I built a GraphRAG demo with FalkorDB’s new SDK, then benchmarked it against Neo4j

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

Index-RAG: Citation-first approach to RAG

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5 min read
# The 5 memory problems for agents

# The 5 memory problems for agents

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11 min read
Beyond Basic RAG: Architecting a Fault-Tolerant, Agentic AI Platform

Beyond Basic RAG: Architecting a Fault-Tolerant, Agentic AI Platform

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

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

The architecture of persistent AI memory: Beyond simple vector search

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2 min read
Retrieval Finds Candidates. Reranking Finds the Right One.

Retrieval Finds Candidates. Reranking Finds the Right One.

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4 min read
Compound AI Systems: How I Connect Multiple Models in a Single Production Product

Compound AI Systems: How I Connect Multiple Models in a Single Production Product

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2 min read
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