Lark
The All-in-One Collaboration Super-App Eliminating the 'Toggle Tax' with Native AI Integration.
The Enterprise AI platform that unifies search, recommendations, and generative answering across the digital journey.
Coveo is a high-performance, cloud-native AI platform designed to orchestrate relevance across complex enterprise ecosystems. In 2026, it maintains its position as the market leader in Relevance Generative Answering (RGA), a proprietary implementation of Retrieval-Augmented Generation (RAG) that strictly anchors Large Language Model outputs to an organization's unified index. The technical architecture relies on a multi-tenant SaaS model featuring a 'Unified Index' that ingests data from 50+ enterprise sources like Salesforce, ServiceNow, and SAP via pre-built connectors. Its AI core combines three distinct layers: Semantic Search (vector-based understanding), Machine Learning (Automatic Relevance Tuning and Dynamic Navigation), and LLM-driven generative experiences. This tri-layer approach ensures that users receive answers that are not only contextually accurate but also permission-aware, respecting complex enterprise security protocols at the query level. Coveo is primarily utilized by Fortune 1000 companies to reduce support ticket volume, increase e-commerce conversion rates through hyper-personalization, and enhance employee productivity by eliminating information silos within the digital workplace.
A RAG-based framework that uses the unified index as the sole source of truth for LLMs, generating citations for every claim made.
The All-in-One Collaboration Super-App Eliminating the 'Toggle Tax' with Native AI Integration.
The semantic knowledge fabric for high-velocity enterprise intelligence.
Cognitive Enterprise Search and RAG-Powered Knowledge Discovery for the Intelligent Workspace.
Transform complex database schemas into actionable natural language insights with autonomous SQL synthesis.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Machine learning that analyzes user clickstream data to automatically boost the most successful results for specific queries.
Uses ML to reorder facets and filters based on what is most likely to help a specific user convert.
Deep learning models that suggest content or products based on 'User-to-Item' and 'Item-to-Item' collaborative filtering.
A library of web components built on Shadow DOM to create fast, responsive search interfaces.
Real-time transformation of metadata during indexing using JavaScript-based extensions.
Indexes Access Control Lists (ACLs) alongside content to ensure users only see what they are authorized to view.
High volume of repetitive support tickets increasing operational costs.
Registry Updated:2/7/2026
Low conversion rates due to complex product catalogs and irrelevant search results.
Employees spend 20% of their time looking for internal information across Slack, Jira, and SharePoint.