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Embeddings
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 […]
Oleksii Svitlychnyi
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 […]
Kostiantyn Odynets, Oleksii Svitlychnyi
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 […]
Maksym Kurhanetskyi, Oleksii Svitlychnyi
chatgpt, LLM, RAG, GenerativeAI, prompt-management, ai, ml, 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 […]
Maksim Kurganetskiy