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

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

#ai #machinelearning #openai #rag
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2 min read
Presentando Citai: el motor RAG que construí en 6 artículos — y que ahora podés probar gratis
martin_palopoli profile

Presentando Citai: el motor RAG que construí en 6 artículos — y que ahora podés probar gratis

#showdev #rag #ai #python
1
Comments
6 min read
Why Your LLM Ignores Detailed Instructions (It's Not a Bug)
takawasi_a3daaa65d00ffee8 profile

Why Your LLM Ignores Detailed Instructions (It's Not a Bug)

#rag
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2 min read
Most GenAI chatbot tutorials stop at “call an LLM get an answer.”
ravindrasinghshah profile

Most GenAI chatbot tutorials stop at “call an LLM get an answer.”

#ai #genai #rag #chatapp
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1 min read
🚀 Beyond RAG: Simulating the Future with MiroFish
techwithhari profile

🚀 Beyond RAG: Simulating the Future with MiroFish

#ai #rag #machinelearning #data
2
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2 min read
Perfect Retrieval Recall on LongMemEval — Running Fully Local
bozbuilds profile

Perfect Retrieval Recall on LongMemEval — Running Fully Local

#opensource #ai #rag #machinelearning
Comments 1
4 min read
AI Products Break on the Data Layer — Not on the Next Model Release
_4f268336f6580845cdc475 profile

AI Products Break on the Data Layer — Not on the Next Model Release

#ai #rag #memory
6
Comments 2
5 min read
The Reranker Setup That Actually Changes Recall@5
gabrielanhaia profile

The Reranker Setup That Actually Changes Recall@5

#ai #rag #llm #python
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6 min read
Tokenizer-Aware Markdown Chunking That Doesn't Shred Tables
gabrielanhaia profile

Tokenizer-Aware Markdown Chunking That Doesn't Shred Tables

#ai #rag #python #tutorial
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7 min read
Hybrid Search in 100 Lines: BM25 + pgvector with RRF Merge
gabrielanhaia profile

Hybrid Search in 100 Lines: BM25 + pgvector with RRF Merge

#rag #postgres #python #ai
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6 min read
I Ran 500 More Agent Memory Experiments. The Real Problem Wasn’t Recall. It Was Binding.

Rigor beyond happy-path testing
marcosomma profile

I Ran 500 More Agent Memory Experiments. The Real Problem Wasn’t Recall. It Was Binding.

#ai #programming #rag #graphknowledge
56
Comments 29
14 min read
A Unified View of AI Evolution: From Machine Learning to LLMs, RAG, and Fine-Tuning
naimulkarim profile

A Unified View of AI Evolution: From Machine Learning to LLMs, RAG, and Fine-Tuning

#ai #llm #machinelearning #rag
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5 min read
Beyond Vector Search: Building a Clause Forest (FoC) Architecture for Financial RAG
xiaojing_liu_85d65a8b99e4 profile

Beyond Vector Search: Building a Clause Forest (FoC) Architecture for Financial RAG

#algorithms #architecture #llm #rag
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7 min read
🧠 Streaming LLM APIs Can Quietly Give Free Tokens
abhisolankii profile

🧠 Streaming LLM APIs Can Quietly Give Free Tokens

#ai #rag #tokenusage #multisourcerag
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1 min read
How I caught a silent NaN bug in production RAG, by asking the system to debug itself
mindmnml profile

How I caught a silent NaN bug in production RAG, by asking the system to debug itself

#rag #postgres #typescript #machinelearning
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6 min read
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