Coveo - Detailed Review
Search Tools
Coveo - Product Overview
Coveo Overview
Coveo is a leading provider of AI-powered search and relevance solutions, primarily targeting large enterprises across various industries such as technology, healthcare, finance, and retail.Primary Function
Coveo’s primary function is to provide an intelligent search experience that matches user intent with relevant results. The platform unifies content from multiple data sources, including cloud and on-premises repositories, to improve the discoverability of data regardless of its format or location.Target Audience
Coveo’s target audience includes medium to large enterprises with complex data management needs. The platform is particularly useful for professionals in roles such as IT, data analytics, customer experience, and knowledge management. Geographically, Coveo focuses on North America and Europe, where businesses are more likely to adopt advanced technology solutions.Key Features
Unified Data Indexing
Coveo’s platform indexes and searches across a wide range of data sources, including structured and unstructured data, internal and external repositories, and real-time data streams. This unified approach allows users to access all relevant information from a single interface.AI-Powered Search
The platform leverages advanced AI and machine learning algorithms to deliver highly relevant and personalized search results. It considers user behavior, preferences, and context to rank results, providing a dynamic search interface that adjusts to each query.Semantic Search and Generative AI
Coveo supports semantic search, which uses vectors within the index to handle complex questions. It also integrates with large language models (like GPT 3.5) to generate answers based on the most relevant excerpts from search results. This combination enhances the search experience by providing more accurate and contextually relevant information.Personalized Search Experience
The platform analyzes user behavior and context to provide personalized search results and recommendations. It also offers proactive AI-powered recommendations to improve user engagement and productivity.Cross-Platform Compatibility
Coveo layers over existing systems to enhance search across various platforms, including websites, customer-facing channels, internal portals, and CRM software. It offers extensive customization options and seamless integration capabilities with popular business applications.Predictive Insights
Coveo’s predictive insights capabilities enable businesses to anticipate user needs and provide proactive recommendations, further enhancing the overall search experience. By combining these features, Coveo delivers a comprehensive search solution that goes beyond traditional keyword-based search, making it a leader in the field of enterprise search solutions. Coveo - User Interface and Experience
User Interface of Coveo
The user interface of Coveo, particularly in its Search Tools AI-driven product category, is crafted to provide a seamless, intuitive, and highly personalized search experience.
Unified Search Interface
Coveo unifies content from various cloud and on-premises repositories into a single index, making it easier for users to find relevant information regardless of its format or location. This centralized approach improves the discoverability of data, ensuring that users can access all necessary information from one search interface.
Dynamic and Adaptive
The search interface is dynamic and adjusts automatically to each query. It reorders results and filters based on relevance, taking into account previous user actions and context. This AI-powered approach ensures that the most relevant results and filters are prioritized, making the search process more efficient.
Personalization and Recommendations
Coveo leverages machine learning algorithms to personalize the search experience. It analyzes user behavior to identify patterns and trends, allowing the platform to suggest relevant queries, recommend content or products, and prioritize results based on user interests. This personalization enhances the user experience by providing content that is most likely to be useful to each individual user.
Query Suggestion and Autocomplete
The platform includes features like query suggestion and autocomplete, which use machine learning models to suggest relevant queries or complete search terms as the user types. This feature is based on what has been popular or successful in similar searches, making the search process quicker and more accurate.
Contextual Relevance
Coveo considers the context of the search query, including variables like the user’s location, device, or time of day. This contextual understanding helps in delivering more accurate search results, even with limited information, by predicting the user’s intent effectively.
Ease of Use
The interface is user-friendly and easy to use. The new UI updates, such as those for Confluence Data Center, Jira Software Data Center, Khoros Community, and Zendesk, offer a more modern and intuitive design with improved input validations. These changes reduce the time and effort required for source configuration, making the overall experience more streamlined.
Analytics and Feedback
Coveo provides comprehensive analytics tools that help in measuring success and understanding user behavior. These analytics enable users to gather data on customer needs, pain points, and the effort spent on self-service, which can be used to further improve the search experience.
Continuous Improvement
The platform continuously learns from user interactions and adapts to improve the search experience. It gathers usage analytics data and uses this information to fine-tune its approach, ensuring that each user’s experience becomes increasingly personalized and relevant over time.
Conclusion
In summary, Coveo’s user interface is designed to be intuitive, adaptive, and highly personalized, making it easy for users to find relevant information quickly and efficiently. The platform’s use of AI and machine learning enhances the user experience by providing contextually relevant results, recommendations, and query suggestions.
Coveo - Key Features and Functionality
Coveo Overview
Coveo, a leading AI-driven search and knowledge management platform, offers a suite of advanced features that enhance user experiences, improve employee productivity, and optimize information retrieval. Here are the main features and how they work:Intelligent Search Capabilities
Coveo’s search engine is powered by AI, which allows it to deliver highly relevant results from large volumes of data. When you enter a query, the engine expands it to include:Stemming
The search query is expanded to include words sharing the same stem as your keywords. For example, a query for “performance” would also include results for “perform,” “performances,” “performed,” etc.Synonyms
If defined by the system administrator, synonyms are included in the search. For instance, if “joker” is set as a synonym for “wildcard,” the search for “joker” would also return results containing “wildcard.”Security and Permissions
The platform ensures that search results are filtered based on the user’s permissions, so only accessible items are returned. This is crucial for maintaining data security and compliance.Advanced Search Operators and Prefixes
Users can utilize various search operators and prefixes to refine or broaden their search scope. Examples include:Exact Phrases
Using quotes to search for exact phrases, e.g., “wireless keyboard.”Wildcard Characters
Using `?` or `*` to search for terms with unknown characters or any number of characters, e.g., `KB4?` or `KB45*`.Field Queries
Using the `@` symbol to search within specific fields, e.g., `@author=paul @title=”annual report”`.Date Operators
Using date/time operators to filter results based on time, e.g., `@date>today-7d`.Logical Operators
Using `AND`, `OR`, `NOT`, and `NEAR` to specify the logic of the search query, e.g., `(report OR status) NEAR:10 financial`.Personalization and Recommendations
Coveo integrates AI and machine learning to provide personalized search results and recommendations. This is achieved by analyzing user behavior and contextual data, allowing for dynamic adjustments to search results and recommendations.Integration with Various Platforms
Coveo seamlessly integrates with multiple platforms, including:Salesforce and Slack
Coveo can tap into Slack messages and conversations to provide relevant information and support features like Intelligent Swarming for customer service agents.Adobe Experience Manager
Coveo enhances Adobe websites with high-performance AI-driven search and relevance capabilities.commercetools
Coveo integrates with commercetools to improve product discovery, using AI-powered listing pages and dynamic navigation.Generative AI and Summarization
Coveo uses generative AI to generate summaries of search results. When a query is executed, the best passages from the results are sent to a Large Language Model (LLM) to create a summary. This feature includes traceability of information, allowing users to see the sources used to generate the summary.Merchandising and Content Management
The Coveo Merchandising Hub provides an intuitive and visual editor for merchandisers to manage search, listings, and recommendations. It offers full transparency into AI and ranking, enabling merchandisers to blend AI with manual controls effectively.Scalability and Compliance
Coveo’s platform is fully composable, MACH-certified, and compliant with various standards such as ISO 27001, HIPAA, and SOC2. It offers a 99.999% SLA resilience, ensuring high performance and reliability. These features collectively enable Coveo to deliver accurate, personalized, and efficient search experiences across various digital channels. Coveo - Performance and Accuracy
Evaluating the Performance and Accuracy of Coveo’s AI-Driven Search Tools
Evaluating the performance and accuracy of Coveo’s AI-driven search tools involves several key aspects, including its AI-powered features, data quality, and user engagement metrics.
AI-Powered Relevance Tuning
Coveo’s search functionality is enhanced by its advanced AI-powered relevance tuning. This feature continuously learns from user interactions and adjusts search results accordingly. By using Coveo’s machine learning and analytics tools, businesses can track user engagement, identify patterns, and refine search algorithms. This includes adjusting factors like document boosting, query normalization, and the weight of various result features, ensuring that search results evolve with user needs.
Metadata Usage and Enrichment
Accurate and well-structured metadata is crucial for delivering relevant search results. Coveo relies on metadata to provide context for documents and products, helping to rank and surface the right content based on user intent. Ensuring proper metadata usage and enrichment is essential to avoid inaccurate or irrelevant search results.
Faceted Search
Coveo’s faceted search feature allows users to filter results based on specific attributes, such as category, price, or location. This helps users narrow down search results quickly, even in large datasets, improving the overall user experience.
Search Analytics and Performance Metrics
Coveo provides powerful analytics and reporting tools to monitor search performance. These tools track metrics like click-through rates, search abandonment, and popular search terms. By analyzing these metrics, businesses can identify areas for improvement and make data-driven decisions to adjust their search strategies. Regular reports and dashboards help in tracking key performance indicators (KPIs) such as user engagement and conversion rates.
Relevance Generative Answering (RGA) Model
The RGA model generates answers to user queries in real-time using a combination of content retrieval and text generation. The model’s performance is evaluated through retrieval and generation metrics, including precision, recall, and F1 scores. However, the quality of the RGA model is heavily dependent on the quality of the training data. If the data is biased, non-representative, or inaccurate, the model’s performance will be affected. Additionally, there is a risk of AI hallucinations if the dataset contains false or inaccurate information.
Limitations and Areas for Improvement
- Data Quality: The effectiveness of Coveo’s AI models, particularly the RGA model, is highly dependent on the quality of the training data. Poor data quality can lead to sub-optimal performance and inaccurate results.
- Language Limitations: Currently, the RGA model only provides generated answers in English, limiting its use in multilingual environments.
- Feedback Loop: The RGA model does not directly take end-user feedback into account when generating answers, although other ML models may incorporate this feedback to influence document ranking.
- Search Response Time: Using complex queries, multiple Boolean operators, or numerous query ranking expressions (QREs) can slow down search response times. Optimizing queries and using ranking functions instead of multiple QREs can help improve performance.
Engagement and Factual Accuracy
To ensure high engagement and factual accuracy, it is crucial to:
- Regularly monitor and analyze search analytics to identify trends and areas for improvement.
- Implement best practices such as using precise queries, avoiding excessive use of Boolean operators, and optimizing faceted search configurations.
- Ensure that the metadata is accurate, complete, and consistently structured.
- Test the search interface on multiple devices to maintain a consistent user experience across different platforms.
By following these best practices and being aware of the potential limitations, businesses can maximize the performance and accuracy of Coveo’s search tools, leading to higher user satisfaction and improved engagement.
Coveo - Pricing and Plans
Pricing Structure
Coveo’s pricing structure for its AI-driven search tools is designed to be scalable, flexible, and aligned with the value delivered to customers. Here’s a breakdown of their pricing model and the different tiers they offer:Pricing Model
Coveo uses a “queries per month” (QPM) methodology to determine pricing. This approach focuses on the number of search activities performed by customers, rather than website traffic or keystrokes. This method is more business-friendly as it does not penalize customers for complex searches.Tiers and Plans
Coveo offers a tiered pricing model with three main plans: Base, Pro, and Enterprise.Base Plan
- This entry-level plan includes all the necessary functionality to get started with Coveo’s AI-powered search.
- Features include Coveo Machine Learning, personalization, and detailed analytics and attribution dashboards.
- Unlike many other vendors, Coveo makes AI and personalization available from the basic plan, recognizing these as essential rather than optional features.
Pro Plan
- This plan builds on the Base plan by adding more advanced features and increased capacity.
- It is designed for businesses that need more than the basic functionalities but do not require the full suite of enterprise features.
- The Pro plan offers additional capabilities to support more complex search and discovery needs.
Enterprise Plan
- This plan is tailored for large enterprises or businesses with extensive and sophisticated search requirements.
- It includes all the features from the Base and Pro plans, plus additional advanced functionalities and higher limits on queries and SKUs.
- The Enterprise plan is designed to support the most demanding search and discovery use cases.
Free Trial
Coveo also offers a free trial that provides a comprehensive experience of their platform. This trial is not a limited version but a full-fledged experience, allowing potential customers to test all the capabilities, including managing the platform, integrating sources, and using machine learning and reporting features.Key Features and Considerations
- Queries Per Month (QPM): Pricing is based on the number of search queries performed, not on keystrokes or web traffic. This approach can result in significant savings compared to other vendors who charge per keystroke.
- Scalable Packaging: Each plan has a maximum number of SKUs attached to guide prospective buyers towards the most appropriate option for their business needs.
- Integrations: Coveo supports a wide range of integrations with various platforms such as Amazon S3, Salesforce, Google Drive, and more, which can be tested during the free trial.
Coveo - Integration and Compatibility
Integrations
Coveo offers native UI integrations with several key platforms:Salesforce
Coveo integrates with Salesforce’s Service Cloud, Commerce Cloud, and Experience Cloud, providing secure access to a wide range of enterprise data sources. This integration enhances experiences by incorporating external data sources into the Salesforce platform, ensuring continuous and up-to-date insights.ServiceNow
Coveo provides a ServiceNow package and connector, enabling features like the Insight Panel, which can be particularly useful for service management and customer support.Sitecore
The integration includes a Sitecore connector, Experience Editor integration, and AI integration. It also supports content recommendations, rule set editing, and xDB integration, making it easier to manage and personalize content.Zendesk
Coveo offers a Zendesk package and connector, including an Insight Panel, to improve customer support experiences.commercetools
Coveo integrates with commercetools to manage large product catalogs, providing real-time updates through its Stream API and Push API. This ensures that product data is always accurate and relevant across the discovery journey.Browser Compatibility
Coveo ensures compatibility across a range of modern web browsers to guarantee optimal performance:Desktop Browsers
Coveo supports the latest major releases and extended stable versions of Chrome, Edge, Safari, and Mozilla Firefox. Older versions are supported for up to one year after their release.Mobile Browsers
The same level of support is extended to mobile browsers, including Chrome, Edge, Safari, and Mozilla Firefox, with similar version support as their desktop counterparts.Platform Compatibility
Coveo’s integrations are designed to be platform-agnostic, ensuring they work seamlessly across different environments:Enterprise Systems
Coveo’s integration with Salesforce Data Cloud, for example, enhances experiences across Service Cloud, Commerce Cloud, and Experience Cloud, making it beneficial for large enterprises with diverse content ecosystems.E-commerce Platforms
The integration with commercetools allows for the management of large and complex product catalogs, optimizing product discovery and personalized experiences.Security and Compliance
Coveo prioritizes security and compliance, ensuring that its integrations meet high standards: Coveo is certified ISO 27001, HIPAA compliant, and SOC2 compliant, with a 99.999% SLA resilience, which is crucial for maintaining data integrity and security across its integrations. In summary, Coveo’s integrations are comprehensive and well-supported, ensuring that users can leverage AI-driven search and product discovery across various platforms and devices while maintaining high levels of security and compliance. Coveo - Customer Support and Resources
Customer Support Plans
Coveo provides different levels of support based on the customer’s plan:
Base Plan
Includes access to Coveo Level Up enablement, webinars, and the Coveo community. Support is available 16 hours a day, 5 days a week, with response times varying by severity level (e.g., 4 hours for Severity 1 issues, 8 business hours for Severity 2 issues).
Pro Plan
Offers onboarding guidance, Customer Success Enablement, and unlimited access to Coveo Level Up, webinars, and the community. Support is available 24 hours a day, 5 days a week, with faster response times (e.g., 2 hours for Severity 1 issues, 4 business hours for Severity 2 issues).
Enterprise Plan
Includes a designated Customer Success Manager, onboarding, coaching sessions, and executive business reviews. Support is available 24 hours a day, 5 days a week, with the fastest response times (e.g., 1 hour for Severity 1 issues, 2 business hours for Severity 2 issues).
AI-Driven Knowledge Management
Coveo’s AI-powered knowledge management system is a key component of their customer support offerings. Here are some of its features:
Centralizing Knowledge
Coveo centralizes all knowledge assets, such as help articles, product documentation, FAQs, and past customer interactions, into a unified AI-powered knowledge hub. This eliminates information silos and ensures support agents have instant access to the most relevant and up-to-date content.
Advanced Search Capabilities
The platform uses AI and machine learning to provide advanced search capabilities that go beyond traditional keyword matching. It can understand context, suggest related content, and prioritize the most helpful answers, reducing the time spent searching for information.
Personalized Search Results
Coveo personalizes search results based on the user’s behavior, previous interactions, and profile. This ensures that support agents and customers get the most relevant information quickly.
Self-Service Options
Coveo optimizes self-service options by providing smart recommendations that guide customers to the most relevant knowledge base articles, tutorials, or FAQs. This reduces the need for live agent intervention and improves customer satisfaction.
Additional Resources
Training and Enablement
Coveo offers various training programs, including Coveo Level Up enablement and webinars, to help customers maximize their investment in Coveo products.
Community Support
Customers have access to the Coveo community, where they can ask questions and share knowledge with other users.
Support Contact Information
For direct support, customers can contact Coveo via phone or email, depending on their region. Detailed contact information is available for different regions such as North America and EMEA.
Continuous Improvement
Coveo’s platform continuously improves through AI-powered insights. It tracks customer interactions, analyzes search patterns, and identifies emerging trends and knowledge gaps. This data is used to update and expand the knowledge base, ensuring it remains relevant and effective.
By leveraging these resources and support options, Coveo helps businesses provide faster, more efficient, and more personalized customer support experiences.
Coveo - Pros and Cons
Advantages of Coveo
Coveo stands out in the Search Tools AI-driven product category with several significant advantages:Easy Content Indexing and Management
Coveo offers out-of-the-box and generic connectors that make indexing content, along with associated permissions, very easy. This includes connectors for various CMS systems, Salesforce, Sitecore, and AEM, among others.AI-Powered Search Features
Coveo’s search features are backed by AI-powered models, which enhance the user search experience with contextual and relevant search results. Key features include query suggestions, automatic relevance tuning, recommendations, and dynamic navigation experiences.Continuous Improvement and Analytics
The platform allows for continuous improvement through adjustable configurations and settings, using insights from the Coveo analytics dashboard. This helps in measuring success and showing ROI without needing developer assistance.Unified Search and Integration
Coveo consolidates multiple systems of knowledge (e.g., SFDC Knowledge base, JIRA, Confluence) into a single, easily searchable view. This unified search capability integrates well with major platforms and is easy to extend or customize.Excellent Support and User Experience
Users praise Coveo’s top-notch support team for their rapid responses and knowledgeable solutions. The platform is generally easy to use, with a user-friendly interface and quick setup for generative AI features.Flexible Architecture
Coveo’s core platform, composed of a unified index, analytics, and machine learning, is flexible enough to handle various use cases such as digital commerce, multi-site search, intelligent customer service, and knowledge management.Disadvantages of Coveo
While Coveo offers many benefits, there are some notable drawbacks:Pricing
One of the main concerns is the pricing, which can be high for small-scale customers. There is a suggestion for a tiered pricing model that includes basic search needs at a more affordable rate.Dependency on Admin Access
For some configurations or changes, especially when integrated with Salesforce, admin access is required. This can lead to delays as teams may have to wait on IT tickets for necessary changes.Index Issues
Some users have reported occasional index issues where search results do not appear. However, Coveo is continuously working to improve their indexing processes to mitigate this issue.User Experience Variability
While the overall user experience is positive, some users have noted that the vast suite of functionality can be overwhelming, and there is room for improvement in making the options more understandable.Cloud-Based Index Preference
A few customers prefer an on-premise index, but Coveo’s index is cloud-based. However, this is not unique to Coveo, as many competitors also use cloud-based indexes. By considering these points, potential users can get a clear picture of what Coveo offers and where it might need improvement. Coveo - Comparison with Competitors
When Comparing Coveo’s AI-Driven Search Tools
When comparing Coveo’s AI-driven search tools with its competitors, several key features and distinctions become apparent:
Coveo’s Unique Features
- Coveo stands out for its intelligent search engine that delivers highly relevant results by leveraging a unified index. This index includes features like stemming, where the search query is expanded to include words sharing the same stem as the keywords entered.
- It also supports synonyms defined by system administrators, ensuring that searches capture relevant items even if different terms are used.
- Coveo integrates advanced search operators and prefixes, allowing users to refine their searches with precision. For example, users can use exact phrase searches, wildcard characters, and field-specific queries.
- The platform emphasizes security, ensuring that search results are filtered based on user permissions and access rights.
- Coveo’s AI platform supports both keyword search and semantic search, utilizing vectors within the index and integrating with large language models like GPT 3.5 for generative answering.
Competitors and Alternatives
Perplexity AI
- Perplexity AI offers a hybrid search experience combining traditional search with advanced AI capabilities. It provides personalized, context-aware responses and direct answers to queries with citations, enhancing user trust and efficiency.
- Unlike Coveo, Perplexity AI focuses more on delivering comprehensive, real-time information in a conversational manner.
NeevaAI
- NeevaAI is a privacy-focused, ad-free search engine that leverages AI to deliver hyper-relevant results quickly. It prioritizes user privacy and offers a clean, ad-free interface.
- NeevaAI differs from Coveo in its strict adherence to user privacy and the absence of advertisements.
You.com
- You.com is an AI-powered search engine that prioritizes data privacy and offers a personalized search experience. It functions as an AI search assistant, providing a customized knowledge base and AI-driven functionalities.
- You.com’s focus on privacy and its role as a search assistant set it apart from Coveo’s more enterprise-oriented search solutions.
Microsoft Copilot
- Microsoft Copilot integrates generative AI, particularly through its collaboration with OpenAI and ChatGPT. It enables real-time conversations and provides context-aware results, making it highly interactive.
- Unlike Coveo, Copilot’s integration with chatbot technology allows for a more conversational search experience.
SearchUnify and Luigi’s Box
- SearchUnify is an enterprise-grade platform built on machine learning and insights engines. It offers features like cognitive search, federated information retrieval, and intent-driven conversational experiences.
- Luigi’s Box focuses on providing an impeccable search experience with features like query autocompletion, grammar correction, and product suggestions. It is more transparent, reliable, and innovative compared to some of the other alternatives.
- Both of these alternatives offer different strengths in terms of enterprise integration and user experience, but they do not match Coveo’s comprehensive AI-driven search capabilities and security features.
Conclusion
In summary, while Coveo excels in its ability to provide highly relevant search results through advanced indexing and security features, its competitors offer unique strengths in areas such as user privacy, conversational search experiences, and ad-free environments. The choice between these platforms would depend on the specific needs of the user or organization, whether it be enterprise search, privacy-focused search, or interactive search experiences.
Coveo - Frequently Asked Questions
What is the Coveo Platform?
The Coveo Platform is a cloud service that provides an intelligent search experience by matching user intent with the most relevant results. It unifies content from various cloud and on-premises repositories into a single index, enhancing the discoverability of data regardless of its format or location.
How does Coveo integrate with other systems?
Coveo layers over existing systems to enhance search capabilities across different platforms, including websites, customer-facing channels, internal portals, and CRM software. It can integrate with systems like Salesforce, Sitecore, and ServiceNow, retrieving content and permissions from these sources to create a unified index.
What are the key features of Coveo’s search interface?
Coveo’s search interface is dynamic and AI-powered, adjusting to each query by reordering results and filters based on relevance. It considers previous user actions and context to rank results, and it also provides proactive recommendations and query suggestions. The interface uses machine learning to improve the search experience over time based on user behavior.
How does Coveo handle security and permissions?
Coveo ensures that search results respect the security permissions of the original content repositories. When a query is made, the system checks the permission model for each item and only returns items that the user is allowed to access. This ensures that sensitive information is protected and only accessible to authorized users.
What role does machine learning play in Coveo?
Coveo Machine Learning (Coveo ML) analyzes usage analytics data from user interactions with the search interface. This data is used to improve the search experience by suggesting queries, recommending items, and displaying the most useful items at the top of the search results. Coveo ML continuously learns from user behavior to enhance the relevance and findability of content.
Can Coveo provide personalized and generative experiences?
Yes, Coveo offers AI-powered generative answering and personalized experiences. It uses a suite of AI models to understand user intent and deliver tailored search results, recommendations, and generative experiences. This helps in reducing support costs, improving user satisfaction, and driving conversions and engagement.
How does Coveo handle content discovery and indexing?
Coveo seamlessly indexes content from various sources, including content management systems like Optimizely’s CMS. It leverages robust metadata to power sophisticated search, ensuring that all content is easily discoverable. The unified hybrid index helps break down data silos, granting access to information across the enterprise.
What search operators and prefixes can be used in Coveo?
Coveo allows users to use several search operators and prefixes to refine or broaden their search scope. Examples include exact phrase searches, wildcard characters, field-specific searches, and date range searches. These operators help users to precision-craft their queries to find the most relevant results.
Is Coveo compliant with security standards?
Yes, Coveo is compliant with several security standards. The platform is ISO 27001 and ISO 27018 certified, SOC2 compliant, and HIPAA compatible. It also offers a 99.999% SLA, ensuring high reliability and security for its users.
How does Coveo support multiple deployment options?
Coveo offers flexible and composable integration options, allowing developers to tailor the integration to their exact needs. This includes multiple deployment options, customizable indexing pipelines, and flexible search UI development tools. These features enable quick and easy implementation, delivering value from the start.