Data Ingestion & Knowledge Sources
100+ Native Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, file shares, Slack, websites merged into one indexOCR & Structured Data – Indexes scanned docs, intranet pages, knowledge articles, multimedia contentReal-Time Sync – Incremental crawls, push APIs, scheduled syncs keep content fresh
Document support – PDF, DOCX, HTML automatically indexed (Vectara Platform )Auto-sync connectors – Cloud storage and enterprise system integrations keep data currentEmbedding processing – Background conversion to embeddings enables fast semantic search
1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archivesWebsite crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public contentMultimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-inCloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-syncKnowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectorsMassive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Atomic UI Components – Drop-in components for search pages, support hubs, commerce sites with generative answersNative Platform Integrations – Salesforce, Sitecore with AI answers inside existing toolsREST APIs – Build custom chatbots, virtual assistants on Coveo's retrieval engine
REST APIs & SDKs – Easy integration into custom applications with comprehensive toolingEmbedded experiences – Search/chat widgets for websites, mobile apps, custom portalsLow-code connectors – Azure Logic Apps and PowerApps simplify workflow integration
Website embedding – Lightweight JS widget or iframe with customizable positioningCMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce toolsMCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, WindsurfOpenAI SDK compatible – Drop-in replacement for OpenAI API endpointsLiveChat + Slack – Native chat widgets with human handoff capabilities
Uses Relevance Generative Answering (RGA)—a two-step retrieval plus LLM flow that produces concise, source-cited answers.
Respects permissions, showing each user only the content they’re allowed to see.
Blends the direct answer with classic search results so people can dig deeper if they want.
Vector + LLM search – Smart retrieval with generative answers, context-aware responsesMockingbird LLM – Proprietary model with source citations (details )Multi-turn conversations – Conversation history tracking for smooth back-and-forth dialogue
✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI✅ Source citations – Every response includes clickable links to original documents✅ 93% resolution rate – Handles queries autonomously, reducing human workload✅ 92 languages – Native multilingual support without per-language config✅ Lead capture – Built-in email collection, custom forms, real-time notifications✅ Human handoff – Escalation with full conversation context preserved
Atomic components are fully styleable with CSS, making it easy to match your brand’s look and feel.
You can tweak answer formatting and citation display through configs; deeper personality tweaks mean editing the prompt.
White-label control – Full theming, logos, CSS customization for brand alignmentDomain restrictions – Bot scope and branding configurable per deploymentSearch UI styling – Result cards and search interface match company identity
Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost2-minute setup – No-code wizard with drag-and-drop interfacePersona customization – Control AI personality, tone, response style via pre-promptsVisual theme editor – Real-time preview of branding changesDomain allowlisting – Restrict embedding to approved sites only
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generationBring Your Own LLM – Relevance-Augmented Passage Retrieval API supports custom modelsAuto-Tuning – Handles model tuning, prompt optimization; API override available
Mockingbird default – In-house model with GPT-4/GPT-3.5 via Azure OpenAI availableFlexible selection – Choose model balancing cost versus quality for use caseCustom prompts – Prompt templates configurable for tone, format, citation rules
GPT-5.1 models – Latest thinking models (Optimal & Smart variants)GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o availableClaude 4.5 – Anthropic's Opus available for EnterpriseAuto model routing – Balances cost/performance automaticallyZero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
REST APIs & SDKs – Java, .NET, JavaScript for indexing, connectors, queryingUI Components – Atomic and Quantic components for fast front-end integrationEnterprise Documentation – Step-by-step guides for pipelines, index management
Multi-language SDKs – C#, Python, Java, JavaScript with REST API (FAQs )Clear documentation – Sample code and guides for integration, indexing operationsSecure authentication – Azure AD or custom auth setup for API access
REST API – Full-featured for agents, projects, data ingestion, chat queriesPython SDK – Open-source customgpt-client with full API coveragePostman collections – Pre-built requests for rapid prototypingWebhooks – Real-time event notifications for conversations and leadsOpenAI compatible – Use existing OpenAI SDK code with minimal changes
Pairs keyword search with semantic vector search so the LLM gets the best possible context.
Reranking plus smart prompts keep hallucinations low and citations precise.
Built on a scalable architecture that handles heavy query loads and massive content sets.
✅ Enterprise scale – Millisecond responses with heavy traffic (benchmarks )✅ Hybrid search – Semantic and keyword matching for pinpoint accuracy✅ Hallucination prevention – Advanced reranking with factual-consistency scoring
Sub-second responses – Optimized RAG with vector search and multi-layer cachingBenchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants APIAnti-hallucination tech – Responses grounded only in your provided contentOpenGraph citations – Rich visual cards with titles, descriptions, images99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
Fine-tune which sources and metadata the engine uses via query pipelines and filters.
Integrates with SSO/LDAP so results are tailored to each user’s permissions.
Developers can tweak prompt templates or inject business rules to shape the output.
Indexing control – Configure chunk sizes, metadata tags, retrieval parametersSearch weighting – Tune semantic vs lexical search balance per queryDomain tuning – Adjust prompt templates and relevance thresholds for specialty domains
Live content updates – Add/remove content with automatic re-indexingSystem prompts – Shape agent behavior and voice through instructionsMulti-agent support – Different bots for different teamsSmart defaults – No ML expertise required for custom behavior
Enterprise Licensing – Pricing based on sources, query volume, features99.999% Uptime – Scales to millions of queries, regional data centersAnnual Contracts – Volume tiers with optional premium support
Usage-based pricing – Free tier available, bundles scale with growth (pricing )Enterprise tiers – Plans scale with query volume, data size for heavy usageDedicated deployment – VPC or on-prem options for data isolation requirements
Standard: $99/mo – 60M words, 10 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat rates – No per-query charges
ISO 27001/27018, SOC 2 – Plus HIPAA-compatible deployments availablePermission-Aware – Granular access controls, users see only authorized contentPrivate Cloud/On-Prem – Deployment options for strict data-residency requirements
✅ Data encryption – Transit and rest encryption, no model training on your content✅ Compliance certifications – SOC 2, ISO, GDPR, HIPAA (details )✅ Customer-managed keys – BYOK support with private deployments for full control
SOC 2 Type II + GDPR – Third-party audited complianceEncryption – 256-bit AES at rest, SSL/TLS in transitAccess controls – RBAC, 2FA, SSO, domain allowlistingData isolation – Never trains on your data
Observability & Monitoring
Analytics Dashboard – Tracks query volume, engagement, generative-answer performancePipeline Logs – Exportable for deeper analysis and troubleshootingA/B Testing – Query pipeline experiments to measure impact, fine-tune relevance
Azure portal dashboard – Query latency, index health, usage metrics at-a-glanceAzure Monitor integration – Azure Monitor and App Insights for custom alertsAPI log exports – Metrics exportable via API for compliance, analysis reports
Real-time dashboard – Query volumes, token usage, response timesCustomer Intelligence – User behavior patterns, popular queries, knowledge gapsConversation analytics – Full transcripts, resolution rates, common questionsExport capabilities – API export to BI tools and data warehouses
Enterprise Support – Account managers, 24/7 help, extensive training programsPartner Network – Coveo Connect community with docs, forums, certified integrationsRegular Updates – Product releases and industry events for latest trends
Microsoft network – Comprehensive docs, forums, technical guides backed by MicrosoftEnterprise support – Dedicated channels and SLA-backed help for enterprise plansAzure ecosystem – Broad partner network and active developer community access
Comprehensive docs – Tutorials, cookbooks, API referencesEmail + in-app support – Under 24hr response timePremium support – Dedicated account managers for Premium/EnterpriseOpen-source SDK – Python SDK, Postman, GitHub examples5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Additional Considerations
Coveo goes beyond Q&A to power search, recommendations, and discovery for large digital experiences.
Deep integration with enterprise systems and strong permissioning make it ideal for internal knowledge management.
Feature-rich but best suited for organizations with an established IT team to tune and maintain it.
✅ Factual scoring – Hybrid search with reranking provides unique factual-consistency scoresFlexible deployment – Public cloud, VPC, or on-prem for varied compliance needsActive development – Regular feature releases and integrations keep platform current
Time-to-value – 2-minute deployment vs weeks with DIYAlways current – Auto-updates to latest GPT modelsProven scale – 6,000+ organizations, millions of queriesMulti-LLM – OpenAI + Claude reduces vendor lock-in
No- Code Interface & Usability
Admin Console – Atomic components enable minimal-code starts⚠️ Developer Involvement – Full generative setup requires technical resources
Best For – Teams with existing IT resources, more complex than pure no-code
Azure portal UI – Straightforward index management and settings configuration interfaceLow-code options – PowerApps, Logic Apps connectors enable quick non-dev integration⚠️ Technical complexity – Advanced indexing tweaks require developer expertise vs turnkey tools
2-minute deployment – Fastest time-to-value in the industryWizard interface – Step-by-step with visual previewsDrag-and-drop – Upload files, paste URLs, connect cloud storageIn-browser testing – Test before deploying to productionZero learning curve – Productive on day one
Market Position – Enterprise AI-powered search/discovery with RGA for large-scale knowledge managementTarget Customers – Large enterprises with complex content (SharePoint, Salesforce, ServiceNow, Confluence) needing permission-aware searchKey Competitors – Azure AI Search, Vectara.ai, Glean, Elastic Enterprise SearchCompetitive Advantages – 100+ connectors, hybrid search, permission-aware results, 99.999% uptime SLAPricing – Enterprise licensing higher than SaaS chatbots; best value for unified search across massive contentUse Case Fit – Knowledge hubs, support portals, commerce sites with generative answers
Market position – Enterprise RAG platform between Azure AI Search and chatbot buildersTarget customers – Enterprises needing production RAG, white-label APIs, VPC/on-prem deploymentsKey competitors – Azure AI Search, Coveo, OpenAI Enterprise, Pinecone AssistantCompetitive advantages – Mockingbird LLM, hallucination detection, SOC 2/HIPAA compliance, millisecond responsesPricing advantage – Usage-based with free tier, best value for enterprise RAG infrastructureUse case fit – Mission-critical RAG, white-label APIs, Azure integration, high-accuracy requirements
Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricingvs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% fastervs Botsonic/Chatbase – More file formats, source citations, no hidden costsvs LangChain – Production-ready in 2 min vs weeks of development
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generationModel Flexibility – Relevance-Augmented Passage Retrieval API supports custom LLMsAuto-Tuning – Handles model tuning, prompt optimization automatically; API override availableSearch Integration – LLM tightly integrated with keyword + semantic search pipeline
✅ Mockingbird LLM – 26% better than GPT-4 on BERT F1, 0.9% hallucination rate✅ Mockingbird 2 – 7 languages (EN/ES/FR/AR/ZH/JA/KO), under 10B parametersGPT-4/GPT-3.5 fallback – Azure OpenAI integration for OpenAI model preferenceHHEM + HCM – Hughes Hallucination Evaluation with Correction Model (Mockingbird-2-Echo)✅ No training on data – Customer data never used for model training/improvementCustom prompts – Templates configurable for tone, format, citation rules per domain
OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 seriesAnthropic – Claude 4.5 Opus/Sonnet (Enterprise)Auto-routing – Intelligent model selection for cost/performanceManaged – No API keys or fine-tuning required
RGA (Relevance Generative Answering) – Two-step retrieval + LLM producing source-cited answersHybrid Search – Keyword + semantic vector search for optimal LLM contextReranking & Smart Prompts – Keeps hallucinations low, citations precisePermission-Aware – SSO/LDAP integration shows only authorized content per userQuery Pipelines – Fine-tune sources, metadata, filters for retrieval control99.999% Uptime – Scalable architecture for heavy query loads, massive content sets
✅ Hybrid search – Semantic vector + BM25 keyword matching for pinpoint accuracy✅ Advanced reranking – Multi-stage pipeline optimizes results before generation with relevance scoring✅ Factual scoring – HHEM provides reliability score for every response's grounding quality✅ Citation precision – Mockingbird outperforms GPT-4 on citation metrics, traceable to sourcesMultilingual RAG – Cross-lingual: query/retrieve/generate in different languages (7 supported)Structured outputs – Extract specific information for autonomous agent integration, deterministic data
GPT-4 + RAG – Outperforms OpenAI in independent benchmarksAnti-hallucination – Responses grounded in your content onlyAutomatic citations – Clickable source links in every responseSub-second latency – Optimized vector search and cachingScale to 300M words – No performance degradation at scale
Industries – Financial Services, Telecommunications, High-Tech, Retail, Healthcare, ManufacturingInternal Knowledge – Enterprise systems integration, permissioning for documentation, knowledge hubsCustomer Support – Support hubs with generative answers from knowledge bases, ticket historyCommerce Sites – Product search, recommendations, AI-powered discovery featuresContent Scale – Large distributed content across SharePoint, databases, file shares, Confluence, ServiceNowTeam Sizes – Large enterprises with IT teams, millions of queries
Regulated industries – Health, legal, finance needing accuracy, security, SOC 2 complianceEnterprise knowledge – Q&A systems with precise answers from large document repositoriesAutonomous agents – Structured outputs for deterministic data extraction, decision-making workflowsWhite-label APIs – Customer-facing search/chat with millisecond responses at enterprise scaleMultilingual support – 7 languages with single knowledge base for multiple localesHigh accuracy needs – Citation precision, factual scoring, 0.9% hallucination rate (Mockingbird-2-Echo)
Customer support – 24/7 AI handling common queries with citationsInternal knowledge – HR policies, onboarding, technical docsSales enablement – Product info, lead qualification, educationDocumentation – Help centers, FAQs with auto-crawlingE-commerce – Product recommendations, order assistance
ISO 27001/27018, SOC 2 – International security, privacy standards for enterprisesHIPAA-Compatible – Deployments available for healthcare compliance requirementsGranular Access Controls – Permission-aware search, SSO/LDAP integrationPrivate Cloud/On-Prem – Options for strict data-residency requirements99.999% Uptime SLA – Regional data centers for mission-critical infrastructure
✅ SOC 2 Type 2 – Independent audit demonstrating enterprise-grade operational security controls✅ ISO 27001 + GDPR – Information security management with EU data protection compliance✅ HIPAA ready – Healthcare compliance with BAAs available for PHI handling✅ Encryption – TLS 1.3 in transit, AES-256 at rest with BYOK support✅ Zero data retention – No model training on customer data, content stays privatePrivate deployments – VPC or on-premise for data sovereignty and network isolation
SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance256-bit AES encryption – Data at rest; SSL/TLS in transitSSO + 2FA + RBAC – Enterprise access controls with role-based permissionsData isolation – Never trains on customer dataDomain allowlisting – Restrict chatbot to approved domains
Enterprise Licensing – $600 to $1,320 depending on sources, query volume, featuresPro Plan – Entry-level with core search, RGA for smaller enterprisesEnterprise Plan – Full-featured with advanced capabilities, higher volumes, premium supportAnnual Contracts – Volume tiers with optional premium support packages⚠️ Consumption-Based – Pricing model can make costs hard to predict
Best Value For – Unified search across massive content, millions of queries
30-day free trial – Full enterprise feature access for evaluation before commitmentUsage-based pricing – Pay for query volume and data size with scalable tiersFree tier – Generous free tier for development, prototyping, small production deploymentsEnterprise pricing – Custom pricing for VPC/on-prem installations, heavy usage bundles available✅ Transparent pricing – No per-seat charges, storage surprises, or model switching feesFunding – $53.5M raised ($25M Series A July 2024, FPV/Race Capital)
Standard: $99/mo – 10 chatbots, 60M words, 5K items/botPremium: $449/mo – 100 chatbots, 300M words, 20K items/botEnterprise: Custom – SSO, dedicated support, custom SLAs7-day free trial – Full Standard access, no chargesFlat-rate pricing – No per-query charges, no hidden costs
Enterprise Support – Account managers, 24/7 help, guaranteed response timesPartner Network – Certified integrations via Coveo Connect communityDocumentation – Step-by-step guides for pipelines, index management, connectorsTraining Programs – Admin console, Atomic components, developer integrationRegular Updates – Product releases, industry events for latest trends
Enterprise support – Dedicated channels and SLA-backed help for enterprise customersMicrosoft network – Extensive infrastructure, forums, technical guides backed by MicrosoftComprehensive docs – API references, integration guides, SDKs at docs.vectara.comSample code – Pre-built examples, Jupyter notebooks, quick-start guides for rapid integrationActive community – Developer forums for peer support, knowledge sharing, best practices
Documentation hub – Docs, tutorials, API referencesSupport channels – Email, in-app chat, dedicated managers (Premium+)Open-source – Python SDK, Postman, GitHub examplesCommunity – User community + 5,000 Zapier integrations
Limitations & Considerations
⚠️ Developer Involvement – Full generative setup requires technical resources
⚠️ Cost Predictability – Consumption-based pricing hard to predict for enterprise scale
⚠️ IT Team Needed – Best for organizations with established technical teams
⚠️ Enterprise Focus – Optimized for enterprises vs. SMBs or startups
NOT Ideal For – Small businesses, plug-and-play chatbot needs, immediate no-code deployment
⚠️ Azure ecosystem focus – Best with Azure services, less smooth for AWS/GCP organizations⚠️ Developer expertise needed – Advanced indexing requires technical skills vs turnkey no-code tools⚠️ No drag-and-drop GUI – Azure portal management but no chatbot builder like Tidio/WonderChat⚠️ Limited model selection – Mockingbird/GPT-4/GPT-3.5 only, no Claude/Gemini/custom models⚠️ Sales-driven pricing – Contact sales for enterprise pricing, less transparent than self-serve platforms⚠️ Overkill for simple bots – Enterprise RAG unnecessary for basic FAQ or customer service
Managed service – Less control over RAG pipeline vs build-your-ownModel selection – OpenAI + Anthropic only; no Cohere, AI21, open-sourceReal-time data – Requires re-indexing; not ideal for live inventory/pricesEnterprise features – Custom SSO only on Enterprise plan
Agentic AI Integration – Coveo for Agentforce, expanded API suite, Design Partner Program (2024-2025)Agent API Suite – Search API, Passage Retrieval API, Answer API for grounding agentsSalesforce Agentforce – Native integration for customer service, sales, marketing agentsAWS RAG-as-a-Service – MCP Server for Amazon Bedrock AgentCore, Agents, Quick Suite (Dec 2024)Four Tools – Passage Retrieval, Answer gen (Amazon Nova), Search, FetchSecurity-First – Inherits document/item-level permissions automatically for trusted answers
Agentic RAG Framework – Python library for autonomous agents: emails, bookings, system integrationAgent APIs (Tech Preview) – Customizable reasoning models, behavioral instructions, tool access controlsLlamaIndex integration – Rapid tool creation connecting Vectara corpora, single-line code generationMulti-LLM support – OpenAI, Anthropic, Gemini, GROQ, Together.AI, Cohere, AWS Bedrock integrationStep-level audit trails – Source citations, reasoning steps, decision paths for governance compliance✅ Grounded actions – Document-grounded decisions with citations, 0.9% hallucination rate (Mockingbird-2-Echo)⚠️ Developer platform – Requires programming expertise, not for non-technical teams⚠️ No chatbot UI – No polished widgets or turnkey conversational interfaces⚠️ Tech preview status – Agent APIs subject to change before general availability
Custom AI Agents – Autonomous GPT-4/Claude agents for business tasksMulti-Agent Systems – Specialized agents for support, sales, knowledgeMemory & Context – Persistent conversation history across sessionsTool Integration – Webhooks + 5,000 Zapier apps for automationContinuous Learning – Auto re-indexing without manual retraining
R A G-as-a- Service Assessment
Platform Type – Enterprise search with RAG-as-a-Service, Relevance Generative Answering (RGA)RAG Launch – AWS RAG-as-a-Service announced December 1, 2024 as cloud-native offering40% Accuracy Improvement – RAG increases base model accuracy according to industry studiesHybrid Search – Keyword, vector, hybrid search with relevance tuning100+ Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, SlackBest For – Enterprises with distributed content needing permission-aware search, knowledge hubs, generative answers
Platform Type – TRUE ENTERPRISE RAG-AS-A-SERVICE: Agent OS for trusted AICore Mission – Deploy AI assistants/agents with grounded answers, safe actions, always-on governanceTarget Market – Enterprises needing production RAG, white-label APIs, VPC/on-prem deploymentsRAG Implementation – Mockingbird LLM (26% better than GPT-4), hybrid search, multi-stage rerankingAPI-First Architecture – REST APIs, SDKs (C#/Python/Java/JS), Azure integration (Logic Apps/Power BI)Security & Compliance – SOC 2 Type 2, ISO 27001, GDPR, HIPAA, BYOK, VPC/on-premAgent-Ready Platform – Python library, Agent APIs, structured outputs, audit trails, policy enforcementAdvanced RAG Features – Hybrid search, reranking, HHEM scoring, multilingual retrieval (7 languages)Funding – $53.5M raised ($25M Series A July 2024, FPV/Race Capital)⚠️ Enterprise complexity – Requires developer expertise for indexing, tuning, agent configuration⚠️ No no-code builder – Azure portal management but no drag-and-drop chatbot builder⚠️ Azure ecosystem focus – Best with Azure, less smooth for AWS/GCP cross-cloud flexibilityUse Case Fit – Mission-critical RAG, regulated industries (SOC 2/HIPAA), white-label APIs, VPC/on-prem
Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructureAPI-first – REST API, Python SDK, OpenAI compatibility, MCP ServerNo-code option – 2-minute wizard deployment for non-developersHybrid positioning – Serves both dev teams (APIs) and business users (no-code)Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
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