Your team is wasting 15-20 hours per week searching for information. here how AI-powered RAG systems fix this (technical breakdown): 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗜 𝗦𝗲𝗲 𝗘𝘃𝗲𝗿𝘆𝘄𝗵𝗲𝗿𝗲: → Information scattered across PDFs, Docs, Notion, Confluence → Employees can't find policies, procedures, or past decisions → Customer support repeating the same answers → New hires take forever to get up to speed → Knowledge dies when people leave Sound familiar? 𝗧𝗵𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 RAG (Retrieval-Augmented Generation) = Your institutional knowledge, instantly searchable. 𝗛𝗼𝘄 𝗜𝘁 𝗪𝗼𝗿𝗸𝘀: 1️⃣ Document Loaders - Ingest all your data (PDFs, Word, CSV, web pages) 2️⃣ Text Chunking - Break into optimal, meaningful pieces 3️⃣ Embeddings - Convert to numerical vectors for semantic search 4️⃣ Vector Store - Database that understands meaning, not just keywords 5️⃣ Retriever - Finds the most relevant info using similarity matching 6️⃣ LLM - Generates accurate answers from YOUR data 𝗧𝘄𝗼 𝗞𝗲𝘆 𝗙𝗹𝗼𝘄𝘀: 📥 One-time: Data → Process → Store 📤Ongoing: Question → Search → Answer 𝗪𝗵𝗮𝘁 𝗧𝗵𝗶𝘀 𝗠𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝗬𝗼𝘂𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀: ✅ Customer support bot that knows ALL your product docs ✅ Internal assistant for compliance, HR, operations ✅ Onboarding tool that answers new hire questions 24/7 ✅ Research assistant for analyzing company reports No hallucinations. No generic answers. Just YOUR data, instantly accessible. 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗣𝗮𝗿𝘁: No expensive model retraining. No complex integrations. Deploy in weeks, not months I help businesses implement production-ready RAG systems. Comment "INTERESTED" or DM me if you want to discuss how this could work for your organization.

After working on removing the secret from the git history now we can continue working.

I got this error in Replit when I tried to push to github. At first I didn't see a detailed error message so I tried to even force the push via terminal and then I got this message. That means that at least Replit is taking security seriously and voiding that we send secrets to github.

I'll practice my java trying to use the most modern aproach that I can to modernize a 2014 webapp.

Is it possible to extract modules from a legacy cobol system and run it on docker? Can I also modernize it using another layer on top? The answer is yes. I'm working on that right now.