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James Anderson6d ago • 11 min read
The Retrieval Checklist I Wish I'd Had Before Shipping RAG
The first time my RAG system gave a confidently wrong answer, I did what everyone does: I blamed the...
#ai#llm#rag#webdev
30 25
Daniel NwaneriAug 24, 2026 • 8 min read
I Almost Shipped a RAG Assistant That Lied About APIs That Don't Exist
I wrote this on X a few weeks ago: I just had a very bad reminder as to the fact these LLMs are...
#ai#llm#rag#hackathon
19 27
Rodrigo Diego6d ago • 6 min read
Chat history is a second read path into your RAG data — gate the replay like the search
My copilot persists the source cards it cites — which documents backed each answer, scores, names,.....
#rag#security#ai#llm
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Edward Izgorodin4d ago • 6 min read
Is Agent Memory Just RAG With Extra Steps? We Opened the Source Code to Find Out
Under every agent memory launch, the same comment appears: "so it's RAG with extra steps." Instead o...
#ai#agents#rag#llm
4 5
Maya Andersson6d ago • 9 min read
Dividing your RAG score by retrieval recall overstates your generation quality, and here is by how much
Almost every RAG eval writeup I read, including several I have recommended, uses the same mental...
#rag#llm#evaluation#machinelearning
2 2
vk032503Aug 23, 2026 • 3 min read
483 tests passed, but Vestibule RAG framework wasn't installable — lessons from building with AI agents
I spent two months building Vestibule, an open-source Python framework for the boring layer of RAG.....
#ai#opensource#python#rag
1 5
sunny 1024kAug 23, 2026 • 4 min read
From Demo to Production: The Guardrails That Make an AI Agent Safe to Ship
The three guardrails that separate a demo agent from a production system, in a tiny open-source harn...
#aiagents#llm#rag#microsoft
1 1
Sanyam Sood6d ago • 8 min read
I Built an MCP Memory Server Where Code, Not the Model, Decides What Gets Stored
Updated August 2026 for v0.2.0. I published this, four readers found real defects, and most of what....
#mcp#ai#showdev#rag
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Humza Tareen6d ago • 6 min read
When RAG Says Duplicate but the LLM Disagrees: Building an Adjudication Layer
How I added an LLM second-opinion layer to a RAG deduplication gate, using a two-threshold review ba...
#rag#llm#typescript#deduplication
1 1
Ritesh Totlani4d ago • 6 min read
I Tested 4 RAG Chunking Strategies Everyone Recommends. 2 Were Quietly Broken.
If you've researched how to build a RAG system, you've seen the advice: use recursive splitting, or....
#ai#rag#llm#python
0 2
ptokito3d ago • 4 min read
Bedrock Guardrails Blocked My RAG Bot's Own Questions: Denied Topics and Contextual Grounding Tested
What denied topics and contextual grounding actually do, tested against a scoped World Cup 2026 assi...
#aws#rag#ai#tutorial
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Hubert García GordonAug 25, 2026 • 11 min read
Three things I got wrong measuring my own cache
A semantic cache looked like the obvious optimisation. Proving the threshold was safe took six days ...
#rag#ai#machinelearning#dotnet
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Nabeel Hassan6d ago • 6 min read
Your RAG Demo Works Because Someone Picked the Documents
A RAG prototype takes an afternoon. Chunk some documents, embed them, stuff the top matches into a.....
#ai#rag#architecture#devjournal
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Brett Ryan3d ago • 9 min read
Mind Discipline: Why Our AI Advisor Only Reads Hand-Crafted Contracts
In my first post, I wrote about why I spent my first week writing zero business logic and instead...
#rag#ai#productivity#devops
1 0
Jasur Yuldoshev5d ago • 9 min read
Your local RAG isn't slow — it re-reads every document on every question
A 291-second answer over nine files, and what the llama.cpp logs said about where those seconds actu...
#rag#llm#performance#localllama
0 0
Jamal5d ago • 5 min read
# Building a Personal Notes Assistant with RAG, Amazon Bedrock, and Pinecone
Have you ever saved hundreds of digital notes only to spend twenty minutes hunting for one tiny...
#ai#programming#rag#python
2 0
Mr.Shah4d ago • 13 min read
RAG Chunking Explained: How to Choose the Right Chunk Size and Strategy
Imagine I give you a whole pizza and say: “Eat it.” You look at it and think, Sure, I can eat...
#ai#llm#rag
1 0
OptiRefine3d ago • 8 min read
Your RAG pipeline is bad at docs because your chunker splits code fences
Here is the chunking code from more or less every RAG tutorial published in the last two...
#ai#rag#llm#webdev
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Paul Chen3d ago • 5 min read
Hallucination Is an Architecture Problem, Not Only a Prompt Problem
If you've built a knowledge base on top of an LLM, you've probably noticed something...
#ai#llm#rag#wiki
9 2
Ayas Hussein6d ago • 2 min read
Architecting for Reliability: The Role of Message Brokers in Multi-Agent AI
When building Agent-to-Agent (A2A) systems, the biggest trap is treating AI agents like standard RES...
#agents#architecture#rag#systemdesign
2 0
speed engineer5d ago • 3 min read
Upgrading Your Embedding Model Doesn't Break RAG Loudly — It Breaks It Quietly
The problem A team I was helping upgraded their embedding model to cut cost — swapped an...
#ai#rag#llm#vectordb
0 0
Boris BaracAug 23, 2026 • 5 min read
Model Cascade: making LLM classification cheaper
Many LLM workloads are classification tasks. This can get expensive, and I believe it is going to...
#llm#classification#rag
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TanmayAug 23, 2026 • 2 min read
A Developer's Checklist for Every RAG Lifecycle (Beyond Chunk-Embed-Search)
If your mental model of RAG is "chunk → embed → search → LLM," you're missing about 80% of what...
#ai#architecture#llm#rag
0 1
Nainik Mehta6d ago • 4 min read
LLMOps for Production RAG: Observability & Cost Guide
LLMOps for production RAG: Observability, Evals & Cost Controls If you want a single,...
#llmops#rag#observability#mlops
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