NEW! Download Gartner® Report: How to Improve and Optimize Retrieval Augmented Generation Systems. Get Started.
NEW! Download Gartner® Report: How to Improve and Optimize Retrieval Augmented Generation Systems. Get Started.
NEW! Download Gartner® Report: How to Improve and Optimize Retrieval Augmented Generation Systems. Get Started.
How to Calculate the Total Cost of RAG-Based Solutions
How to Calculate the Total Cost of RAG-Based Solutions
How to Calculate the Total Cost of RAG-Based Solutions
February 21, 2024
February 21, 2024
With generative AI solutions like ChatGPT gaining immense popularity, CIOs face the challenge of evaluating the total cost of ownership before investing. While interest levels are high, many have concerns about the return on investment.
With generative AI solutions like ChatGPT gaining immense popularity, CIOs face the challenge of evaluating the total cost of ownership before investing. While interest levels are high, many have concerns about the return on investment.
This article breaks down the total cost of a Retrieval Augmented Generation (RAG) chatbot solution. We’ll explore the key costs involved so you can effectively manage budgets.
The main cost categories include:
#3 Deploying Software
RAG solutions require various software like data connectors, chatbots, vector search and large language models. Consider open source vs. commercial options, licensing, security and support costs. Buy vs. Build scenarios should be compared.
Answering the Buy vs. Build Dilemma
The costs add up quickly when companies choose to build solutions themselves. Maintenance, support, operational costs and more create a total cost of ownership (TCO) that is typically 2x higher than leveraging SearchBlox’s dedicated solutions
The costs add up quickly when companies choose to build solutions themselves. Maintenance, support, operational costs and more create a total cost of ownership (TCO) that is typically 2x higher than leveraging SearchBlox’s dedicated solutions
#4 LLMs
Large Language Model (LLM) costs correlate directly to usage and content volume. Estimating chatbot usage and content needs is key for cost predictability.
#5 Production Support
Effective RAG solutions require ongoing data updates and maintenance. Support costs should account for high user volumes and real-time conversations.
#6 Legal & Compliance
Involve legal and compliance teams early to avoid risks. Auditing capabilities may be required.
#1 Hiring AI Talent
Hiring AI experts or consultants is typically the largest expense. While reskilling employees may save costs, it extends ramp-up time.
Calculate fully-loaded costs for new hires, contractors and training. Note that developing in-house talent can create long-term efficiencies.
#2 Building Infrastructure
Compute, storage and bandwidth costs vary based on factors like:
Number of environments (dev, test, production)
Latency needs
User scale (pilot vs. enterprise)
CPU/GPU requirements
Data processing and backup needs
Large language model requirements
Number of environments (dev, test, production)
Latency needs
User scale (pilot vs. enterprise)
CPU/GPU requirements
Data processing and backup needs
Large language model requirements
Carefully evaluate infrastructure costs during planning.
Engineered for fast, safe deployments — no heavy lifting required.
SearchBlox SearchAI ChatBot handles everything from company policies, processes and precedents to technical troubleshooting and how-to guides. Subject matter experts can focus their time on high-value work rather than repeating the same common questions.
Calculating a 3-5 year total cost of ownership is crucial for RAG solutions. While exciting, generative AI requires strategic planning to manage costs and ensure ROI. Consider all aspects including talent, infrastructure, software, data and support.
With careful evaluation and cost management, organizations can deploy generative AI to deliver true business value.
This article breaks down the total cost of a Retrieval Augmented Generation (RAG) chatbot solution. We’ll explore the key costs involved so you can effectively manage budgets.
This article breaks down the total cost of a Retrieval Augmented Generation (RAG) chatbot solution. We’ll explore the key costs involved so you can effectively manage budgets.
Accurate cost calculations are critical for your organization.
Hiring AI experts or consultants is typically the largest expense. While reskilling employees may save costs, it extends ramp-up time.
Calculate fully-loaded costs for new hires, contractors and training. Note that developing in-house talent can create long-term efficiencies.
#1 Hiring AI Talent
Compute, storage and bandwidth costs vary based on factors like:
Carefully evaluate infrastructure costs during planning.
Number of environments (dev, test, production)
Latency needs
User scale (pilot vs. enterprise)
CPU/GPU requirements
Data processing and backup needs
Large language model requirements
#2 Building Infrastructure
#3 Deploying Software
RAG solutions require various software like data connectors, chatbots, vector search and large language models. Consider open source vs. commercial options, licensing, security and support costs. Buy vs. Build scenarios should be compared.
Answering the Buy vs. Build Dilemma
The costs add up quickly when companies choose to build solutions themselves. Maintenance, support, operational costs and more create a total cost of ownership (TCO) that is typically 2x higher than leveraging SearchBlox’s dedicated solutions
#4 LLMs
Large Language Model (LLM) costs correlate directly to usage and content volume. Estimating chatbot usage and content needs is key for cost predictability.
#5 Production Support
Effective RAG solutions require ongoing data updates and maintenance. Support costs should account for high user volumes and real-time conversations.
Involve legal and compliance teams early to avoid risks. Auditing capabilities may be required.
#6 Legal & Compliance
Engineered for fast, safe deployments — no heavy lifting required.
Engineered for fast, safe deployments — no heavy lifting required.
SearchBlox SearchAI ChatBot handles everything from company policies, processes and precedents to technical troubleshooting and how-to guides. Subject matter experts can focus their time on high-value work rather than repeating the same common questions.
SearchBlox SearchAI ChatBot handles everything from company policies, processes and precedents to technical troubleshooting and how-to guides. Subject matter experts can focus their time on high-value work rather than repeating the same common questions.
Accurate cost calculations are critical for your organization.
Accurate cost calculations are critical for your organization.
Calculating a 3-5 year total cost of ownership is crucial for RAG solutions. While exciting, generative AI requires strategic planning to manage costs and ensure ROI. Consider all aspects including talent, infrastructure, software, data and support.
Calculating a 3-5 year total cost of ownership is crucial for RAG solutions. While exciting, generative AI requires strategic planning to manage costs and ensure ROI. Consider all aspects including talent, infrastructure, software, data and support.
With careful evaluation and cost management, organizations can deploy generative AI to deliver true business value.
Engineered for fast, safe deployments — no heavy lifting required.
Accurate cost calculations are critical for your organization.
SearchBlox SearchAI ChatBot handles everything from company policies, processes and precedents to technical troubleshooting and how-to guides. Subject matter experts can focus their time on high-value work rather than repeating the same common questions.
Calculating a 3-5 year total cost of ownership is crucial for RAG solutions. While exciting, generative AI requires strategic planning to manage costs and ensure ROI. Consider all aspects including talent, infrastructure, software, data and support.
With careful evaluation and cost management, organizations can deploy generative AI to deliver true business value.
Let’s simplify the RAG planning process.
We focus entirely on Generative AI and efficient, secure data pipelines so you can focus on growing your organization
We focus entirely on Generative AI and efficient, secure data pipelines so you can focus on growing your organization
Feeling Overwhelmed? We understand.
Feeling Overwhelmed? We understand.
Let’s simplify the RAG planning process.
Let’s simplify the RAG planning process.
Let’s simplify the RAG planning process.
Feeling Overwhelmed? We understand.
Feeling Overwhelmed? We understand.
We focus entirely on Generative AI and efficient, secure data pipelines so you can focus on growing your organization
We focus entirely on Generative AI and efficient, secure data pipelines so you can focus on growing your organization
Enhance your users’ digital experience.
We build AI-driven software to help organizations leverage their unstructured and structured data for operational success.
4870 Sadler Road, Suite 300, Glen Allen, VA 23060 sales@searchblox.com | (866) 933-3626
Still learning about AI? See our comprehensive Enterprise Search RAG 101 and ChatBot 101 guides.
©2024 SearchBlox Software, Inc. All rights reserved.
Enhance your users’ digital experience.
We build AI-driven software to help organizations leverage their unstructured and structured data for operational success.
4870 Sadler Road, Suite 300, Glen Allen, VA 23060 sales@searchblox.com | (866) 933-3626
Still learning about AI? See our comprehensive Enterprise Search RAG 101 and ChatBot 101 guides.
©2024 SearchBlox Software, Inc. All rights reserved.
Enhance your users’ digital experience.
We build AI-driven software to help organizations leverage their unstructured and structured data for operational success.
4870 Sadler Road, Suite 300, Glen Allen, VA 23060 sales@searchblox.com | (866) 933-3626
Still learning about AI? See our comprehensive Enterprise Search RAG 101 and ChatBot 101 guides.
©2024 SearchBlox Software, Inc. All rights reserved.