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ai, LLM, RAG, Amazon Bedrock, ChatGPT, Embeddings, AWS, application-development, GenerativeAI, prompt-management
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
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
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 […]
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 […]