What is Knowledge Friction and Why Does It Matter?
Knowledge friction remains a major problem despite billions spent on knowledge management software
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
What are the symptoms and impacts of knowledge friction?
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Customer service knowledge friction symptoms:
Long resolution times
Inconsistent answers provided to customers
High rate of call transfers
Failed first contact resolutions
Business impacts: Low CSAT scores, high training costs
Sales knowledge friction symptoms:
Lots of time spent looking for sales enablement content
Marketing and sales enablement content goes unused
High new rep ramp time
Outdated or off-brand information is referenced
Business impacts: Limited revenue generating time, ineffective sales meetings, high onboarding costs, brand reputation at risk
Operations knowledge friction symptoms
Slow execution of projects or initiatives
Overburdened SMEs and managers
Conflicting answers to simple questions
Difficulties maintaining multiple sources of knowledge
Business impacts: Delayed releases, higher operating costs, slowed innovation
R&D
Limited cross-departmental collaboration and innovation
Overburdened SMEs and managers
No standard feedback process for documents
Knowledge gaps and repeated mistakes
Business impacts: Delayed releases, poor research productivity, decreases in market share
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
What are the symptoms and impacts of knowledge friction?
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Customer service knowledge friction symptoms:
Long resolution times
Inconsistent answers provided to customers
High rate of call transfers
Failed first contact resolutions
Business impacts: Low CSAT scores, high training costs
Sales knowledge friction symptoms:
Lots of time spent looking for sales enablement content
Marketing and sales enablement content goes unused
High new rep ramp time
Outdated or off-brand information is referenced
Business impacts: Limited revenue generating time, ineffective sales meetings, high onboarding costs, brand reputation at risk
Operations knowledge friction symptoms
Slow execution of projects or initiatives
Overburdened SMEs and managers
Conflicting answers to simple questions
Difficulties maintaining multiple sources of knowledge
Business impacts: Delayed releases, higher operating costs, slowed innovation
R&D
Limited cross-departmental collaboration and innovation
Overburdened SMEs and managers
No standard feedback process for documents
Knowledge gaps and repeated mistakes
Business impacts: Delayed releases, poor research productivity, decreases in market share
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.
What is Knowledge Friction and Why Does It Matter?
Knowledge friction remains a major problem despite billions spent on knowledge management software
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
What are the symptoms and impacts of knowledge friction?
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Customer service knowledge friction symptoms:
Long resolution times
Inconsistent answers provided to customers
High rate of call transfers
Failed first contact resolutions
Business impacts: Low CSAT scores, high training costs
Sales knowledge friction symptoms:
Lots of time spent looking for sales enablement content
Marketing and sales enablement content goes unused
High new rep ramp time
Outdated or off-brand information is referenced
Business impacts: Limited revenue generating time, ineffective sales meetings, high onboarding costs, brand reputation at risk
Operations knowledge friction symptoms
Slow execution of projects or initiatives
Overburdened SMEs and managers
Conflicting answers to simple questions
Difficulties maintaining multiple sources of knowledge
Business impacts: Delayed releases, higher operating costs, slowed innovation
R&D
Limited cross-departmental collaboration and innovation
Overburdened SMEs and managers
No standard feedback process for documents
Knowledge gaps and repeated mistakes
Business impacts: Delayed releases, poor research productivity, decreases in market share
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.
Why knowledge friction costs enterprises thousands of hours of productivity. Four common approaches to solving the enterprise productivity problem — and why they fall shortHow to unlock the value of AI and solve your productivity problem with a Knowledge AI platform
Knowledge friction: The productivity problem that has plagued organizations for decades.
70% of employees report spending an hour or more searching for a single piece of information.*
Companies are creating more content and data than ever – but most of it isn’t discoverable. This frustrating disconnect between content creators and content consumers is what we call knowledge friction. And it costs enterprises thousands of hours of productivity.
*2024 Survey on Information Discovery, Unisphere Research.
Four ways enterprises have tried to solve the problem — and how Knowledge AI can help.
Companies have tried various solutions to generate actionable answers from their existing content, yet the enterprise productivity problem remains. Where web search, legacy enterprise search, homegrown solutions, and AI startups all fall short, Knowledge AI is eliminating knowledge friction once and for all.
Unlock the value of AI with an Enterprise AI Platform
Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), an enterprise Knowledge AI platform swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers for your teams.
Find out how to unlock the value of AI and solve the enterprise productivity problem for good.
Pryon comprehensively transforms enterprise content into accurate, instant, and verifiable answers. Get started simply with Pryon AI Labs — a low risk, no-code, lab environment with guidance from our expert solutions team.
For media or investment inquiries, please email info@pryoninc.com.
Stop endlessly searching through PubMed to find the right citation, research guidance, or trial data. RAE lets you ask a question, queries millions of information sources, and delivers the right answer in less than a second, pointing you to the source document(s) in case you’d like to gather more context.
Uncover insights from your own research
Your own research data may contain insights that are even more valuable than the information hidden in MEDLINE and other biomedical literature. That’s why RAE allows researchers to upload their own research, such as clinical trial findings, patient data, and internal unpublished research papers.
Highly accurate and trustworthy
RAE delivers trustworthy, verifiable, always up-to-date answers, which are critical in a research setting. RAE’s best-in-class retrieval model uses advanced machine learning, computer vision, and optical character recognition to read complex information — even handwritten documents and diagrams — like a human would. RAE never hallucinates, since it only pulls from trusted research content, and delivers over 90% accuracy out of the box (with further improvements over time).
Scales to fit the varied needs of any research enterprise
For many organizations, life sciences research can comprise tens of thousands of voluminous research articles. RAE’s massive storage and compute resources enable it to ingest terabytes of research data — including PDFs, text files, images, video, and more — and transform that data into accurate answers.
Safe and secure
To ensure private research data and queries remain private, RAE runs entirely on-premises, not in a public cloud environment. RAE comes preloaded with Pryon, a Knowledge AI platform. Pryon’s AI models do not train on your data, so your data remains yours and yours alone. The system additionally ensures security against external parties with a self-contained, SOC 2 Type II-compliant architecture. All running securely on-prem on Dell PowerEdge servers.
Research answer engines can be transformational
“We can’t wait to see how pharmaceutical companies, research institutes, and development organizations use the Pryon | Dell Research Answer Engine. With this solution, life science experts can spend less time searching PubMed and internal resources for answers and more time conducting game-changing research.”
— Alex Long, Head of Strategy, Life Sciences at Dell Technologies
Why use Dell and Pryon’s Research Answer Engine?
RAE helps accelerate the research process by enabling researchers to quickly get answers to their questions directly from trusted sources, such as MEDLINE and private research. Life science researchers no longer need to waste time and energy hunting for valuable information when they could instead be helping develop new treatments.
- Where stalled information access is holding enterprises back - The leading barriers to delivering business-critical information to end users - The top AI use cases enterprise leaders are exploring for 2024 - Strategies for implementing AI solutions without exposing your organization to risk
Rapid information access is a must-have in today’s digital economy
92% of enterprise leaders agree that access to fast, accurate information from unstructured content is vital to their business.
Information remains out of reach for end users
70% of leaders report that employees in their organization spend more than an hour looking for a piece of information, with nearly a quarter (23%) spending more than 5 hours.
Enterprises are looking to AI for help
The two leading use cases for AI involve helping users better understand and get answers from information spread across the enterprise.
Explore all the insights in the 2024 Survey on Enterprise Information Discovery from Unisphere Research
What is Knowledge Friction and Why Does It Matter?
Knowledge friction remains a major problem despite billions spent on knowledge management software
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
What are the symptoms and impacts of knowledge friction?
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Customer service knowledge friction symptoms:
Long resolution times
Inconsistent answers provided to customers
High rate of call transfers
Failed first contact resolutions
Business impacts: Low CSAT scores, high training costs
Sales knowledge friction symptoms:
Lots of time spent looking for sales enablement content
Marketing and sales enablement content goes unused
High new rep ramp time
Outdated or off-brand information is referenced
Business impacts: Limited revenue generating time, ineffective sales meetings, high onboarding costs, brand reputation at risk
Operations knowledge friction symptoms
Slow execution of projects or initiatives
Overburdened SMEs and managers
Conflicting answers to simple questions
Difficulties maintaining multiple sources of knowledge
Business impacts: Delayed releases, higher operating costs, slowed innovation
R&D
Limited cross-departmental collaboration and innovation
Overburdened SMEs and managers
No standard feedback process for documents
Knowledge gaps and repeated mistakes
Business impacts: Delayed releases, poor research productivity, decreases in market share
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.
What is Knowledge Friction and Why Does It Matter?
Knowledge friction remains a major problem despite billions spent on knowledge management software
We’ve all felt the pain of needing a quick answer at work and spending hours checking different systems to find it — searching around for the right file, attempting to remember the right keywords to use, trying to get time with an already overburdened SME, and feeling frustrated by a lack of results. Then, once you think you’ve found the content you need, you spend more time reading through it, parsing the information to pinpoint the answer to your question. All the while crossing your fingers that the file is up-to-date and the information inside is verified.
Sound familiar?
You’re not alone. Pryon recently worked with Unisphere Research to survey a cross-industry group of enterprise leaders and knowledge workers on this problem. The survey found that employees waste hours weekly searching for information scattered across the enterprise. Yet, much of an organization’s content still goes unused. More than one out of five respondents estimate that less than half of the unstructured information in their organization is readily available. And only a handful (6%) reported the complete availability of their organization’s information.
1 in 5 enterprise leaders report that less than half of their organization’s content is readily available.
Knowledge friction is the disconnect between enterprise authors and key content consumers. It is a constant consequence to productivity, operations, compliance, and revenue. Content authors — such as marketing, support managers, sales enablement, and product teams — invest high-quality time and effort producing informative content for end users — from salespeople and researchers to operations and customer support teams. Even after all this, end users still struggle to find and access the answers they need.
While organizations invest billions of dollars every year in content management software and enterprise search systems to try and solve their knowledge friction problems, they've seen little to no results. In fact, introducing too many of these systems compounds knowledge friction. The 2024 Survey on Enterprise Information Discovery found that having multiple systems to search across is the leading obstacle to delivering necessary and timely information to employees, customers, and partners.
Difficulties in searching across systems (56%) was followed closely by problems with information and data silos (55%) and issues with information and data quality (52%) as the leading causes of knowledge friction. Other top obstacles include challenges in finding the correct search terms to locate desired information (46%) and insufficient content sharing (44%).
What are the symptoms and impacts of knowledge friction?
Knowledge friction can look different and have varying impacts depending on your industry and function. Here are some examples of warning signs to watch out for by department and the negative business outcomes that come with them:
Customer service knowledge friction symptoms:
Long resolution times
Inconsistent answers provided to customers
High rate of call transfers
Failed first contact resolutions
Business impacts: Low CSAT scores, high training costs
Sales knowledge friction symptoms:
Lots of time spent looking for sales enablement content
Marketing and sales enablement content goes unused
High new rep ramp time
Outdated or off-brand information is referenced
Business impacts: Limited revenue generating time, ineffective sales meetings, high onboarding costs, brand reputation at risk
Operations knowledge friction symptoms
Slow execution of projects or initiatives
Overburdened SMEs and managers
Conflicting answers to simple questions
Difficulties maintaining multiple sources of knowledge
Business impacts: Delayed releases, higher operating costs, slowed innovation
R&D
Limited cross-departmental collaboration and innovation
Overburdened SMEs and managers
No standard feedback process for documents
Knowledge gaps and repeated mistakes
Business impacts: Delayed releases, poor research productivity, decreases in market share
Anyone can increase these truths from their point of need. And these symptoms and impacts are just the tip of the iceberg. The report from Unisphere Research identified 21 risks of stalled access to business-critical information:
16. Delays in important medical processes (life-saving test results, surgeon support, FDA filings)
17. Compliance violations
18. Workplace inefficiency
19. Negative impacts on quality
20. Longer project cycles
21. Poor energy efficiency
Since legacy content management systems and enterprise search engines have fallen short, many enterprises are looking to Knowledge AI to tackle knowledge friction. Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), Knowledge AI swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers. This means no more endless searching through complex systems or wasting time on outdated information. Instead, teams can rely on a Knowledge AI platform for instant access to reliable answers, precisely when they need them.
Understand the knowledge friction problem in federal agencies and its impact on daily tasks and mission-critical scenarios.
Learn how GenAI solutions can democratize knowledge access, streamline workflows, and enable decision advantage.
Discover the four critical requirements for implementing GenAI solutions securely at the federal level.
Get introduced to the Retrieval-Augmented Generation (RAG) framework and its benefits in delivering accurate and secure responses.
A sneak peek into the report:
Federal agencies have a knowledge friction problem.
Government agencies need to ensure employees, service members, and citizens quickly and easily receive the answers they need to drive productivity and enable decision advantage.
Internal content authors work diligently to produce and update content, including policies, procedures, and lessons learned. Yet staff, managers, and senior leaders still lose valuable time wading through pools of siloed information to find answers. As a result, the gap between critical information and those who need it most continues to widen.
Eliminate knowledge friction with generative AI.
Government agencies need to ensure employees, service members, and citizens quickly and easily receive the answers they need to drive productivity and enable decision advantage.
With the right GenAI solutions in place, staff and service members can take on challenges with greater speed and intelligence.
4 core considerations to implementing GenAI in a federal agency.
Not every GenAI solution on the market is fit to meet the specific needs of government agencies. Implementing GenAI in a regulated environment requires careful consideration of four critical factors to ensure success:
Accuracy
Security
Scale
Speed
Retrieval-Augmented Generation: The answer to GenAI implementations for government.
Many federal agencies are turning to Retrieval-Augmented Generation (RAG) to support their GenAI solutions. RAG is a framework that combines retrieval and generative capabilities to deliver accurate and trustworthy responses.
This approach mitigates common issues with GenAI tools, such as hallucinations and ensures that responses are based on authoritative content with clear source attribution.
Find out how to unlock the value of AI for federal agencies, while ensuring accuracy and security.
Pryon’s GenAI solutions, supported by a robust RAG framework, are uniquely designed to meet the rigorous demands of government operations. Using best-in-class information retrieval technology, Pryon securely delivers accurate, timely answers for decision advantage. Request a custom demo today.