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David El Malih23h ago • 5 min read
My eval harness paid for itself on the first run: 0.57 0.96, two bugs no unit test could catch
I almost shipped a RAG pipeline that, on certain questions, cited exactly the right document — and.....
#ai#testing#rag#python
2 2
Santanu Mohanta1d ago • 5 min read
I added a reranker to my RAG pipeline — it broke everything, then I fixed it
In v2 I added hybrid retrieval (FAISS + BM25) to fix keyword blindspots. All 19 test questions...
#rag#python#ai#fastapi
1 3
Orvi Das2d ago • 8 min read
From Code to Governance: The Complete Guide to LLM Token Optimization
Your token costs are growing faster than your usage. You've already optimized model selection on...
#ai#rag#llm
2 0
Het Patel2d ago • 5 min read
Your RAG faithfulness check is measuring copy-paste, not faithfulness
I was building an eval harness for a retrieval-augmented generation pipeline, and the first...
#rag#llm#evaluation#machinelearning
2 5
Abhishek Gupta1d ago • 10 min read
How to Use Deep Agents with Azure Cosmos DB – Plan, act, and verify against operational data
Originally posted on...
#agents#python#langchain#rag
3 0
Pallavi Sharma3d ago • 3 min read
Why My RAG App Kept Hallucinating (and How I Fixed It)
A few months ago I was demoing my RAG-powered support bot to a colleague, feeling pretty confident.....
#ai#rag#llm#webdev
6 0
Rodrigo Diego1d ago • 7 min read
Building a multi-agent document-search copilot — Part 1: muddy results, and one strategy per query
Building a multi-agent document-search copilot — Part 1: muddy results, and one strategy per...
#ai#rag#architecture#bedrock
0 1
Shudipto Trafder2d ago • 10 min read
Agent memory: 7 types, and 2 of them aren't memory
Your agent doesn't have a memory problem. It has seven of them, and most teams have built two. Star...
#ai#agents#rag#llm
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Turgay Savacı3d ago • 13 min read
why a simple string match beat apple's nlembedding for local rag
Why a simple string match beat Apple's NLEmbedding for local RAG how apple's nlembedding drove me.....
#swift#macos#ai#rag
0 2
Anubhav Verma4d ago • 4 min read
Building RAG that doesn't hallucinate
Every RAG tutorial promises the same thing: hook a vector database up to an LLM, and suddenly your.....
#ai#rag#genai#llama
2 0
Felipe Araújo5d ago • 5 min read
Replacing Cross-Encoder Reranking with a Weighted Hybrid Score
My RAG pipeline had a bottleneck, and the fix turned out to be just simple math. The...
#ai#nlp#performance#rag
0 0
Siddharth Pandey4d ago • 4 min read
Why Your Reranker Isn't Helping Your RAG Pipeline (And How to Prove It)
You add a cross-encoder reranker to your RAG pipeline, measure answer quality on a test set, see a.....
#rag#opensource#llm#typescript
1 4
Dishant Sethi5h ago • 7 min read
RAG Pipeline Chunking Strategies: Split Documents for Better Retrieval
Key Takeaways RAG pipeline chunking strategies determine retrieval quality more than the embedding...
#rag#llm#ai#langchain
0 0
John2d ago • 4 min read
How to make an AI research agent label facts vs inferences — a deterministic provenance pipeline
Originally published on hexisteme notes, part of a series on building and running an AI agent...
#ai#llm#rag
0 1
Satya Anudeep20h ago • 4 min read
Why RAG Isn't Enough: Building RationaleVault for Cognitive Continuity
Why RAG Isn't Enough: Building RationaleVault for Cognitive Continuity Retrieval-Augmented...
#ai#rag#opensource#llm
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Abhijeet Hiwale3d ago • 4 min read
Why Your Prompt Is Only 5% of What the Model Sees
Most developers think they're prompting AI. They're actually injecting a tiny message into a much...
#ai#architecture#llm#rag
0 6
can4h ago • 5 min read
Building RepoMind: How I Used MCP, RAG, and Repository Intelligence to Give Claude Access to Entire Codebases
I Thought MCP Was Just Tool Calling. Then I Built a Repository Intelligence System. A few...
#ai#mcp#rag#systemdesign
1 0
Fernando Azevedo1d ago • 10 min read
Bedrock Managed Knowledge Base: Anatomy of a Managed RAG Pipeline
Deep technical analysis of Amazon Bedrock Managed Knowledge Base: how it works internally, real fail...
#aiagents#bedrock#rag#knowledgebase
0 0
Sanjana medidi2h ago • 5 min read
Building a RAG-Based PDF Question Answering System: Engineering Decisions, Failures, and Lessons
A technical deep-dive into StudyMate AI — a Retrieval-Augmented Generation system built with...
#machinelearning#langchain#nlp#rag
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byeongsoo kang6d ago • 8 min read
I Added a Verify Layer to My Local RAG to Catch Hallucinations. It Caught Me Being Wrong Twice About My Own Corpus
A claim-verification layer for a local RAG co-scientist, inspired by Karpathy's llm-wiki pattern. I ...
#ai#rag#llm#machinelearning
1 1
Abu Hurayra Niloy16h ago • 9 min read
Building RAGEval: My Journey from Problem to Production Foundation in 2 Days
The Problem That Started Everything I was building a RAG system and realized something...
#ai#architecture#llm#rag
0 0
surajrkhonde3d ago • 20 min read
Phase 1: Document Ingestion - The Hidden Complexity Before Embeddings
The Complete Story: Why Most RAG Systems Fail Before They Start The Story...
#ai#dataengineering#llm#rag
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Marwan Hamdy2d ago • 1 min read
I wanted to build an AI companion, so my first step was limiting what the AI is actually allowed to think. Here is how I used "Semantic Intake" to force the LLM to understand context before it speaks:
I Turned a Dead Discord Bot Into an AI Therapist That Actually Remembers You ...
#ai#llm#rag#showdev
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Fernando Azevedo1d ago • 10 min read
Contract Intelligence on AWS: Field-Notes Architecture
In-depth technical analysis of contract intelligence pipelines with Bedrock, RAG, Step Functions, an...
#aiagents#bedrock#rag#contracts
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