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Amazon Bedrock
ai, Amazon Bedrock, Amazon S3 Storage, Amazon SQS, automation, aws, aws-lambda, healthcare, test automation framework, test automation
Data extraction from fax using AI in Amazon Bedrock
Think faxes are a thing of the past? Not in healthcare. Every month this U.S.-based platform that helps patients, doctors, and imaging centers manage imaging procedures online was buried under thousands of referrals, notes, and reports. The result was hours of manual entry that slowed growth and made scaling impossible without hiring more people. We […]
ai, Amazon Bedrock, healthcare, automation, data-integration, Application Development, Amazon SQS, application-modernization, architecture, aws, aws-lambda, Amazon S3 Storage, MySQL, Amazon S3, node.js, react, Redis
Modern healthcare scheduling powered by AWS
For a long time in the U.S., getting an imaging procedure scheduled was harder than it needed to be. Patients often had to call around to find an available slot, physicians sent referrals by fax, and imaging centers had to juggle these requests manually. The result was delays, frustration, and a lot of wasted effort. […]
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
Calculate the Total Cost of a RAG-Based 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. This solution operates on the AWS cloud while integrating OpenAI’s language model. We will discuss the financial aspects of infrastructure costs and analyze how to estimate expenses […]
CI/CD, deployment, devops, ai, chatgpt, Amazon Bedrock, Amazon RDS, aws, LLM, RAG, Embeddings, Neo4j, PostgreSQL, Amazon ECR, backend, GenerativeAI, prompt-management
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, AWS, RAG, Amazon RDS, Neo4j, PostgreSQL, Embeddings, GraphDB, VectorDB
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 […]
