Forem

OptyxStack

#ai #llm #rag #machinelearning #observability #performance

OptyxStack audits and recovers underperforming AI systems - LLM audit, RAG optimization, accuracy improvement, and inference cost reduction with measurable KPIs.

Employees

60

Designing High-Precision LLM RAG Systems: An Enterprise-Grade Architecture Blueprint

Designing High-Precision LLM RAG Systems: An Enterprise-Grade Architecture Blueprint

7
Comments 2
4 min read
We Built a Production-Ready Auto-Reply Chatbot (FastAPI + OpenAI + Hybrid Retrieval)

We Built a Production-Ready Auto-Reply Chatbot (FastAPI + OpenAI + Hybrid Retrieval)

4
Comments
2 min read
OpenAI Bill Audit in 45 Minutes: Token Spend Decomposition (Retries, Tool Loops, Context Bloat)

OpenAI Bill Audit in 45 Minutes: Token Spend Decomposition (Retries, Tool Loops, Context Bloat)

5
Comments 1
2 min read
RAG Recall vs Precision: A Practical Diagnostic Guide for Reliable Retrieval

RAG Recall vs Precision: A Practical Diagnostic Guide for Reliable Retrieval

5
Comments
3 min read
LLM Audit for Developers: A 30-Minute Self-Check Before You Tune That Prompt Again

LLM Audit for Developers: A 30-Minute Self-Check Before You Tune That Prompt Again

5
Comments
4 min read
Every Business Should Engage with AI | The Only Question Is How Deep

Every Business Should Engage with AI | The Only Question Is How Deep

5
Comments 1
5 min read
How to Enter the AI Era Properly — Without Treating AI as Magic

How to Enter the AI Era Properly — Without Treating AI as Magic

6
Comments 2
3 min read
P99 Is Not the Villain: A More Honest Way to Read Latency Metrics

P99 Is Not the Villain: A More Honest Way to Read Latency Metrics

20
Comments 3
3 min read
loading...