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ai, Amazon S3, AWS Lambda, Amazon Bedrock, integration, automation, Amazon SQS, AWS, healthcare, test automation, AI case studies
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 […]
Natural Language Interface for Data Platform
Imagine a business analyst whose task is to extract necessary information from a data warehouse to generate various reports. They need to be proficient in crafting SQL queries of any complexity—a challenging and time-consuming feat that requires deep understanding of database structures and SQL language. But what if this business analyst had an AI assistant […]
ai, LLM, text-processing, RAG, NLP, prompt-management, GenerativeAI, higher-education, PostgreSQL, AI case studies
AI Text Classification and Matching for Better Decisions
Picture this: You have an AI-powered assistant that helps manage your team’s growth. It works with three types of text data: job descriptions, employee skills, and training programs. You give it a job description and an employee’s skill set, and it pinpoints the perfect training programs to bridge any skill gaps. It’s like having a […]
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 […]
