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How one developer ran an end-to-end legacy migration with agentic AI
I was given a C++ application that ran on an older generation of payment terminals, documentation for the old platform, documentation for the new one, and a simple objective: Build the application for the new terminals, and use AI to help. That was essentially the entire handoff. There was no business analyst to walk me […]
How we turned AI development cost spikes into a controllable workflow
By Illia Sokolov, Senior Technology Fellow at ABCloudz Most days, our AI spend for development stayed below $100. Then one day hit $490. No big production launch. No planned load test. No obvious reason in the data. It was clear, visible, and hard to ignore. The problem was that the chart could only tell us […]
ai, LLM, prompt-management, ChatGPT, Claude, Amazon Titan, Llama, Amazon Bedrock, cost-optimization, NLP
How to select LLM for SQL generation
Imagine a scenario where a data analyst needs to generate SQL queries to extract specific information from a complex data warehouse, but without deep knowledge of SQL. Our goal was to create an AI assistant that translates natural language to SQL, and we wanted to find the optimal large language model (LLM) for this task. […]
ai, LLM, RAG, Amazon Bedrock, ChatGPT, Embeddings, AWS, application-development, GenerativeAI, prompt-management, AI case studies
Calculate the Total Cost of a RAG-Based Chatbot Solution
This blog post examines the operational expenses of the AI-powered chatbot solution introduced in our previous blog posts, Custom AI chatbot using RAG and Deployment of AI-Powered Chatbot. How to estimate the cost of a RAG chatbot correctly? Start by separating infrastructure, model usage, embedding usage, and expected traffic, then calculate each layer on its […]
CI/CD, deployment, devops, ai, ChatGPT, Amazon Bedrock, Amazon RDS, AWS, LLM, RAG, Embeddings, Neo4j, PostgreSQL, Amazon ECR, backend, GenerativeAI, prompt-management, AI case studies
Deployment of AI-Powered Chatbot
This blog post focuses on the architecture and deployment of the AI-powered Chatbot solution that we described in our earlier blog post Custom AI Chatbot Development Using RAG. This solution is built for the AWS cloud but uses OpenAI as an LLM. We’ll dive deep into the CI/CD process and AWS deployment architecture of the […]
ai, ChatGPT, GenerativeAI, prompt-management, LLM, Amazon Bedrock, RAG, Amazon RDS, Neo4j, PostgreSQL, Embeddings, graphdb, vectordb, AWS, AI case studies
Custom AI Chatbot Development Using RAG
You have probably seen and heard about AI-powered chatbots that can converse with the user about website content, or some piece of knowledge related to a company. The world is full of buzz on all things AI, with chatbots driving the headlines. In this article, we’ll share our experience building a full-blown solution from scratch […]
machine learning, ChatGPT, LLM, RAG, GenerativeAI, prompt-management, ai, Embeddings, PostgreSQL, Redis, LangChain, ai-model-training
Building an Intelligent Chatbot with OpenAI LLM using RAG
Chatbots as they come are not something new under the sky. They have populated the web since long ago leaving behind an impressive trail of user annoyance and frustration. Wild repetitions, endless question-answer loops, and downright stupidity were the common laments to splash in jokes among the cubicle drones. The only improvements seemed to be […]
Leveraging the power of ChatGPT with Keyssistant
OpenAI’s ChatGPT captured imagination of the world with unlimited possibilities it can bring to our daily life. Our mobile team had many ideas for the projects, and one of them revolved around creating a smart keyboard powered by AI. Introducing Keyssistant Keyssistant is a mobile keyboard extension that seamlessly integrates AI-powered capabilities into all messaging […]
