- Passage Retrieval API enhances accuracy, relevance, and
security, reducing hallucinations and protecting sensitive data for
smarter, more reliable GenAI applications
- Proven with global enterprises, new Passage Retrieval API
accelerates time-to-value with industry-leading retrieval
MONTREAL and SAN
FRANCISCO, Feb. 6, 2025 /CNW/ - Coveo (TSX:
CVO), the market leader in AI-Relevance — delivering
AI-search, generative, and business-aware relevance at every
point-of-experience, today announced that the Coveo Passage
Retrieval API, a headless retrieval method for generative AI
applications that leverages the Coveo's best-of-breed AI-Relevance
PlatformTM, is now generally available.
Coveo's Passage Retrieval API: Strategic and critical for
enterprises' GenAI success
"Enterprises today are challenged with turning vast amounts of
fragmented data into accessible and relevant knowledge for
generative and conversational AI," said Laurent Simoneau, Co-Founder, President and CTO
at Coveo. "While large language models (LLMs) hold immense
potential, their success hinges entirely on the quality of the data
they access—a growing concern as many enterprises develop their own
GenAI applications. Many organizations are adopting
Retrieval-Augmented Generation (RAG) and quickly realizing that the
hardest part—the 'R'—lies in retrieving precise and relevant
information from scattered enterprise systems. This critical step
ensures secure, accurate, and relevant AI responses, yet its
complexity often hinders progress."
Coveo's Passage Retrieval API directly addresses this challenge
by delivering precise, trustworthy text to LLMs and AI
applications, including Salesforce Agentforce, Microsoft Copilot,
Amazon Bedrock Agents, and SAP Joule. The API boosts accuracy,
minimizes hallucinations, and meets enterprise security
requirements, all while improving deployment speed and reducing
costs. Organizations can, therefore, consistently scale multiple
generative AI applications using a single, reliable retrieval
method.
A Unified Index for All Your GenAI Needs
With Coveo's proven information retrieval method and advanced
relevancy and ranking techniques now available to power generative
AI applications, organizations can ground results in enterprise
knowledge with greater efficiency and significantly accelerate
time-to-value. Coveo's platform centers on an industry-leading
unified index that combines advanced ranking techniques—lexical,
vector-based, and behavioral—to securely connect data from systems
like CRMs, ERPs, ITSMs, and CMSs using prebuilt connectors. This
eliminates redundant indexing and integration work, cutting
maintenance costs while supporting a wide range of AI applications
such as search, recommendations, generative AI and content
discovery.
Designed to scale seamlessly, the platform handles large data
sets, high user volumes, and multiple applications. With hybrid
semantic and lexical indexing, machine learning models like
Automatic Relevance Tuning (ART), and personalized ranking, as well
as control over weighting factors and business rules in the query
pipeline, Coveo continuously improves retrieval results, ensuring
enterprise-wide AI performance that evolves with each user
interaction.
Early Access Program Sees Impressive Results
Early Access Program customers saw impressive results.
One Fortune 500 software
organization that implemented Coveo's Passage Retrieval API
reported that in only 2 weeks they were able to improve article and
passage retrieval accuracy by 22% over their in-house retrieval
tool which led to a 73% improvement in generated answer accuracy of
their internal GenAI chatbot.
"Integrating Coveo's Passage Retrieval API has improved our
ability to deliver highly customized AI solutions," said
Eric Immermann, Search and Content
Practice Director at Perficient, a close System Integration partner
of Coveo who tested the Passage Retrieval API during our Early
Access Program. "From automating sales queries and enhancing global
search experiences for our clients, to powering our own internal
RFI generation tool, we've seen how better relevance in generative
answering drives efficiency and business value. With Coveo's
unified hybrid index, we can improve answer relevance across
various GenAI applications — making AI adoption faster, easier, and
more cost-effective for us and our clients."
Unlocking Possibilities: Top Use Cases for Coveo's Passage
Retrieval API
- Custom GenAI Experiences: Improve the
reliability and security of any generative AI application by
providing your LLM with the most relevant passages from unified
enterprise content sources.
- Chatbots and Virtual Agents: Improve the relevance of
the answers from your chatbots, co-pilots, and agentic AI
applications so your users experience personalized and context-rich
conversations.
- Internal Knowledge Management: Empower employees with
personalized, accurate answers grounded in enterprise knowledge,
reducing search time and boosting productivity.
- Customer-Facing Support & Case Deflection: Provide
precise self-service answers cited from support knowledge that
minimize escalations, lower support costs, and boost customer
satisfaction.
Discover the power and versatility of the Coveo Passage
Retrieval API. Whether you're working with AI platforms like
Salesforce Einstein, Microsoft Azure AI, AWS Bedrock, or IBM
Watson; LLM models such as Google Gemini, Anthropic Claude, and
OpenAI GPT-4o; or AI agents like Salesforce Agentforce, Microsoft
Copilot, Amazon Q Business, and SAP Joule, our API ensures more
relevant answers and enhanced user experiences. Explore our
blog to learn more.
Just getting started with RAG? Learn how Coveo's advanced search
and retrieval solutions can elevate your RAG strategy for precision
and speed. Watch the webinar on-demand or join us at our next
Relevance 360 virtual event, register here.
About Coveo
Coveo brings superior AI-Relevance to every point-of-experience,
transforming how enterprises connect with their customers and
employees to maximize business outcomes.
Relevance is about moving from persona to person, the degree to
which the enterprise-wide content, products, recommendations, and
advice presented to a person online aligns easily with their
context, needs, preferences, behavior and intent, setting the
competitive experience gold standard. Every person's journey is
unique, and only AI can solve the complexity of tailoring
experiences across massive, diverse audiences and large volumes and
variety of content and products.
Our Coveo AI-Relevance Platform™ ️enables enterprises to deliver
hyper-personalization at every point-of-experience, unifying all
their data securely, with the highest level of contextual and
prescriptive accuracy while simultaneously optimizing business
outcomes.
Coveo brings AI-Relevance to the digital experiences of many of
the world's premier and most innovative brands, serving millions of
people across billions of interactions.
What we believe is bold: Digital is table stakes, Relevance is
not. It's the only way to win in the digital age.
The Coveo AI-Relevance Platform™ is ISO 27001 and ISO 27018
certified, SOC2 compliant, HIPAA compatible, with a 99.999% SLA
available. We are a Salesforce ISV Partner, an SAP
EndorsedⓇ App, an Adobe Gold Partner, MACH Alliance
member, Optimizely Partner, Shopify Partner, and a Genesys
AppFoundryⓇ ISV Partner.
Coveo is a trademark of Coveo Solutions Inc.
Stay up to date on the latest Coveo news and content by
subscribing to the Coveo blog, and following Coveo on
LinkedIn and YouTube.
Forward-Looking Information
This press release contains "forward-looking information" and
"forward-looking statements" within the meaning of applicable
securities laws (collectively, "forward-looking information"). This
forward-looking information is identified by the use of terms and
phrases such as "may", "would", "should", "could", "might", "will",
"achieve", "occur", "expect", "intend", "estimate", "anticipate",
"plan", "foresee", "believe", "continue", "target", "opportunity",
"strategy", "scheduled", "outlook", "forecast", "projection", or
"prospect", the negative of these terms and similar terminology,
including references to assumptions, although not all
forward-looking information contains these terms and phrases. In
addition, any statements that refer to expectations, intentions,
projections, or other characterizations of future events or
circumstances contain forward-looking information. Statements
containing forward-looking information are not historical facts but
instead represent management's expectations, estimates, and
projections regarding future events or circumstances.
Forward-looking information is necessarily based on a number of
opinions, estimates, and assumptions that we considered appropriate
and reasonable as of the date such statements are made. Although
the forward-looking information contained herein is based upon what
we believe are reasonable assumptions, actual results may vary from
the forward-looking information contained herein. Moreover,
forward-looking information is subject to known and unknown risks,
uncertainties, and other factors, many of which are beyond our
control, that may cause the actual results, level of activity,
performance, or achievements to be materially different from those
expressed or implied by such forward-looking information, including
but not limited to macro-economic uncertainties and the risk
factors described under "Risk Factors" in the Company's most
recently filed Annual Information Form available under our profile
on SEDAR+ at www.sedarplus.ca. There can be no assurance that such
forward-looking information will prove to be accurate, as actual
results and future events could differ materially from those
anticipated in such information. Accordingly, prospective investors
should not place undue reliance on forward-looking information,
which speaks only as of the date made.
Moreover, we operate in a very competitive and rapidly changing
environment. Although we have attempted to identify important risk
factors that could cause actual results to differ materially from
those contained in forward-looking information, there may be other
risk factors not presently known to us or that we presently believe
are not material that could also cause actual results or future
events to differ materially from those expressed in such
forward-looking information.
Except as required by law, we do not assume any obligation to
update or revise any forward-looking information, whether as a
result of new information, future events, or otherwise, after the
date on which the statements are made or to reflect the occurrence
of unanticipated events.
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SOURCE Coveo Solutions Inc.
