Data Ingestion & Knowledge Sources
100+ Native Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, file shares, Slack, websites merged into one index
OCR & Structured Data – Indexes scanned docs, intranet pages, knowledge articles, multimedia content
Real-Time Sync – Incremental crawls, push APIs, scheduled syncs keep content fresh
Knowledge Base (KB) – RAG-powered retrieval: PDF, Word, CSV, plain text uploads
Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk (Pro+)
✅ No explicit document limits, scales by storage tier
⚠️ Accuracy concerns – Reviews cite KB "often inaccurate" and "too general"
1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
Massive 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 answers
Native Platform Integrations – Salesforce, Sitecore with AI answers inside existing tools
REST APIs – Build custom chatbots, virtual assistants on Coveo's retrieval engine
15+ native integrations – Zendesk, Salesforce, HubSpot, Intercom, Slack, Teams, Freshdesk
Messaging & voice – WhatsApp, SMS, Alexa, Google Assistant, custom telephony
E-commerce – Shopify, Stripe, Zapier, Make.com (5000+ apps), Calendly
✅ Custom integrations via unlimited HTTP API blocks, webhooks, iOS/Android SDKs
Website embedding – Lightweight JS widget or iframe with customizable positioning
CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
LiveChat + 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.
Visual workflow canvas – 50+ drag-and-drop blocks (text, cards, buttons, forms, APIs)
Multi-turn conversations – Context preservation across sessions with full transcript logging
Agent handoff – Multi-agent routing, human handoff with context transfer
100+ languages – Intent recognition, entity extraction, slot filling via NLU
✅ Analytics dashboard: sessions, users, completion rates, drop-offs, A/B testing
✅ #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.
Visual widget editor – Custom colors, logos, fonts, button styles, bubble positioning
White-labeling – Remove branding (Team+), custom domains (Pro+), CSS injection
✅ Dynamic personalization via user attributes, multi-channel customization, configurable tone/prompts
Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
2-minute setup – No-code wizard with drag-and-drop interface
Persona customization – Control AI personality, tone, response style via pre-prompts
Visual theme editor – Real-time preview of branding changes
Domain allowlisting – Restrict embedding to approved sites only
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generation
Bring Your Own LLM – Relevance-Augmented Passage Retrieval API supports custom models
Auto-Tuning – Handles model tuning, prompt optimization; API override available
Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step configuration
Function calling – GPT-4/Claude support with custom model API integration
Prompt controls – System prompts, few-shot examples, temperature/token controls per request
✅ Cost optimization via model routing, RAG auto-augments LLM prompts
GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
Claude 4.5 – Anthropic's Opus available for Enterprise
Auto model routing – Balances cost/performance automatically
Zero 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, querying
UI Components – Atomic and Quantic components for fast front-end integration
Enterprise Documentation – Step-by-step guides for pipelines, index management
REST API & SDKs – JavaScript/TypeScript, Python, GraphQL API for queries
API capabilities – Send messages, manage state, retrieve transcripts, update KB
Custom code blocks – JavaScript execution within workflows, rate limits 10K/hour (Pro)
✅ Comprehensive docs, 15K+ community (Discord/Slack), Postman/OpenAPI specs
REST API – Full-featured for agents, projects, data ingestion, chat queries
Python SDK – Open-source customgpt-client with full API coverage
Postman collections – Pre-built requests for rapid prototyping
Webhooks – Real-time event notifications for conversations and leads
OpenAI 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.
Response times – 200-500ms simple, 1-2s complex; 99.9% SLA (Enterprise)
Accuracy claims – GoStudent case: 98% accuracy on 100K conversations
Hallucination prevention – RAG grounding, confidence thresholds, source citations
⚠️ KB accuracy concerns – Reviews cite "often inaccurate", manual preprocessing required
Sub-second responses – Optimized RAG with vector search and multi-layer caching
Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
Anti-hallucination tech – Responses grounded only in your provided content
OpenGraph citations – Rich visual cards with titles, descriptions, images
99.9% 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.
Real-time updates – Workflow changes deploy instantly, no rebuild required
Version control – Git-style versioning, rollback, Dev/Staging/Prod environments (Team+)
Component reusability – Save sections, 100+ templates, dynamic KB syncing
✅ Task-specific flows, multi-language routing, user segmentation by custom attributes
Live content updates – Add/remove content with automatic re-indexing
System prompts – Shape agent behavior and voice through instructions
Multi-agent support – Different bots for different teams
Smart defaults – No ML expertise required for custom behavior
Enterprise Licensing – Pricing based on sources, query volume, features
99.999% Uptime – Scales to millions of queries, regional data centers
Annual Contracts – Volume tiers with optional premium support
Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators
Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators
Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC
Enterprise: Custom – Unlimited agents, SSO, SOC 2, SLA, dedicated support
⚠️ Pricing complexity – Per-seat ($15-25) + per-agent ($20-50) charges escalate quickly
Standard: $99/mo – 60M words, 10 bots
Premium: $449/mo – 300M words, 100 bots
Auto-scaling – Managed cloud scales with demand
Flat rates – No per-query charges
ISO 27001/27018, SOC 2 – Plus HIPAA-compatible deployments available
Permission-Aware – Granular access controls, users see only authorized content
Private Cloud/On-Prem – Deployment options for strict data-residency requirements
SOC 2 Type II certified – GDPR compliant, HIPAA ready (Enterprise)
Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention policy
SSO/SAML – Okta/Azure AD, RBAC (Team+), audit logs (Enterprise)
✅ On-premise deployment, EU data residency, DPA, IP whitelisting, key rotation
SOC 2 Type II + GDPR – Third-party audited compliance
Encryption – 256-bit AES at rest, SSL/TLS in transit
Access controls – RBAC, 2FA, SSO, domain allowlisting
Data isolation – Never trains on your data
Observability & Monitoring
Analytics Dashboard – Tracks query volume, engagement, generative-answer performance
Pipeline Logs – Exportable for deeper analysis and troubleshooting
A/B Testing – Query pipeline experiments to measure impact, fine-tune relevance
Analytics dashboard – Sessions, users, messages, completion rates, drop-off visualization
Conversation funnels – Journey mapping with full transcript viewer
Error tracking – Monitor API failures, timeouts, unhandled intents real-time
✅ User feedback (thumbs/CSAT/NPS), CSV/JSON export, Datadog/New Relic webhooks
Real-time dashboard – Query volumes, token usage, response times
Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
Conversation analytics – Full transcripts, resolution rates, common questions
Export capabilities – API export to BI tools and data warehouses
Enterprise Support – Account managers, 24/7 help, extensive training programs
Partner Network – Coveo Connect community with docs, forums, certified integrations
Regular Updates – Product releases and industry events for latest trends
Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)
200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community
Support tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise)
✅ 100+ templates, Academy certifications, comprehensive docs, partner program
Comprehensive docs – Tutorials, cookbooks, API references
Email + in-app support – Under 24hr response time
Premium support – Dedicated account managers for Premium/Enterprise
Open-source SDK – Python SDK, Postman, GitHub examples
5,000+ 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.
Workflow-first platform – Excels complex workflows, KB accuracy lags RAG specialists
Best use case – Multi-step API orchestration, team collaboration; NOT document Q&A
⚠️ Steep learning curve – Weeks onboarding despite visual interface
⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage
⚠️ Pricing escalation – Per-seat/agent fees escalate beyond base costs quickly
⚠️ SOC 2 Enterprise-only – No SLA guarantees on lower tiers
Time-to-value – 2-minute deployment vs weeks with DIY
Always current – Auto-updates to latest GPT models
Proven scale – 6,000+ organizations, millions of queries
Multi-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
Visual canvas builder – Drag-and-drop 50+ blocks, 80% no-code coverage
Collaboration – 10+ simultaneous editors, real-time cursor tracking, comments
Testing tools – Built-in chat simulator, one-click channel deployment
✅ Ease of use 8.7/10 (G2), 100+ templates, Academy certifications
2-minute deployment – Fastest time-to-value in the industry
Wizard interface – Step-by-step with visual previews
Drag-and-drop – Upload files, paste URLs, connect cloud storage
In-browser testing – Test before deploying to production
Zero learning curve – Productive on day one
Market Position – Enterprise AI-powered search/discovery with RGA for large-scale knowledge management
Target Customers – Large enterprises with complex content (SharePoint, Salesforce, ServiceNow, Confluence) needing permission-aware search
Key Competitors – Azure AI Search, Vectara.ai, Glean, Elastic Enterprise Search
Competitive Advantages – 100+ connectors, hybrid search, permission-aware results, 99.999% uptime SLA
Pricing – Enterprise licensing higher than SaaS chatbots; best value for unified search across massive content
Use Case Fit – Knowledge hubs, support portals, commerce sites with generative answers
Market position – Workflow-first platform (founded 2017, $28M funding) for orchestration
Target customers – Enterprise teams (200K+ users: Mercedes-Benz, JP Morgan) needing multi-agent workflows
Key competitors – Botpress, Rasa, Microsoft Power Virtual Agents, NOT RAG tools
Competitive advantages – 50+ blocks, 10+ real-time collab, 15+ integrations, SOC 2/GDPR/HIPAA
✅ Free Sandbox, Pro $50/month reasonable for startups, best for workflows
⚠️ Use case fit – Ideal complex workflows, NOT simple document Q&A
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 pricing
vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
vs LangChain – Production-ready in 2 min vs weeks of development
Azure OpenAI GPT – Primary models via Azure OpenAI for high-quality generation
Model Flexibility – Relevance-Augmented Passage Retrieval API supports custom LLMs
Auto-Tuning – Handles model tuning, prompt optimization automatically; API override available
Search Integration – LLM tightly integrated with keyword + semantic search pipeline
Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step selection
Function calling – GPT-4/Claude real-time action triggering during conversations
Custom model integration – Proprietary LLM API support, temperature/token controls (0.0-2.0)
✅ Cost optimization routing: GPT-3.5 simple, GPT-4 complex queries
OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
Auto-routing – Intelligent model selection for cost/performance
Managed – No API keys or fine-tuning required
RGA (Relevance Generative Answering) – Two-step retrieval + LLM producing source-cited answers
Hybrid Search – Keyword + semantic vector search for optimal LLM context
Reranking & Smart Prompts – Keeps hallucinations low, citations precise
Permission-Aware – SSO/LDAP integration shows only authorized content per user
Query Pipelines – Fine-tune sources, metadata, filters for retrieval control
99.999% Uptime – Scalable architecture for heavy query loads, massive content sets
Knowledge Base – RAG vector search, semantic matching (PDF, Word, CSV, text)
Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk
Multi-turn context – Conversation preservation across sessions for coherent dialogues
⚠️ Accuracy concerns – Reviews cite KB "often inaccurate", "too general"
⚠️ No RAG controls – Cannot configure chunking, embeddings, similarity thresholds
GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
Anti-hallucination – Responses grounded in your content only
Automatic citations – Clickable source links in every response
Sub-second latency – Optimized vector search and caching
Scale to 300M words – No performance degradation at scale
Industries – Financial Services, Telecommunications, High-Tech, Retail, Healthcare, Manufacturing
Internal Knowledge – Enterprise systems integration, permissioning for documentation, knowledge hubs
Customer Support – Support hubs with generative answers from knowledge bases, ticket history
Commerce Sites – Product search, recommendations, AI-powered discovery features
Content Scale – Large distributed content across SharePoint, databases, file shares, Confluence, ServiceNow
Team Sizes – Large enterprises with IT teams, millions of queries
Complex workflows – API orchestration, multi-agent coordination, sophisticated logic
Team collaboration – 10+ simultaneous editors with real-time tracking/comments
Voice assistants – Alexa, Google Assistant, custom telephony conversational AI
Customer service – 15+ integrations (Zendesk, Salesforce, HubSpot, Intercom) automation
E-commerce – Shopify orders, product recommendations, lead gen with Calendly/CRM
⚠️ NOT ideal for – Simple document Q&A (KB accuracy issues)
Customer support – 24/7 AI handling common queries with citations
Internal knowledge – HR policies, onboarding, technical docs
Sales enablement – Product info, lead qualification, education
Documentation – Help centers, FAQs with auto-crawling
E-commerce – Product recommendations, order assistance
ISO 27001/27018, SOC 2 – International security, privacy standards for enterprises
HIPAA-Compatible – Deployments available for healthcare compliance requirements
Granular Access Controls – Permission-aware search, SSO/LDAP integration
Private Cloud/On-Prem – Options for strict data-residency requirements
99.999% Uptime SLA – Regional data centers for mission-critical infrastructure
SOC 2 Type II – GDPR compliant, HIPAA ready (Enterprise), EU data residency
Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention
SSO/SAML – Okta, Azure AD, OneLogin; RBAC (Team+), audit logs (Enterprise)
✅ On-premise deployment for data sovereignty, DPA available
SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
256-bit AES encryption – Data at rest; SSL/TLS in transit
SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
Data isolation – Never trains on customer data
Domain allowlisting – Restrict chatbot to approved domains
Enterprise Licensing – $600 to $1,320 depending on sources, query volume, features
Pro Plan – Entry-level with core search, RGA for smaller enterprises
Enterprise Plan – Full-featured with advanced capabilities, higher volumes, premium support
Annual 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
Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators
Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators, GPT-4/Claude
Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC
Enterprise: Custom – Unlimited agents, SSO, SOC 2, HIPAA, SLA, on-premise
⚠️ Per-seat charges – Additional editors $50/month (Pro), $15-25/month (Team)
Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
Enterprise: Custom – SSO, dedicated support, custom SLAs
7-day free trial – Full Standard access, no charges
Flat-rate pricing – No per-query charges, no hidden costs
Enterprise Support – Account managers, 24/7 help, guaranteed response times
Partner Network – Certified integrations via Coveo Connect community
Documentation – Step-by-step guides for pipelines, index management, connectors
Training Programs – Admin console, Atomic components, developer integration
Regular Updates – Product releases, industry events for latest trends
Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)
200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community
Support tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise)
✅ 100+ templates, comprehensive docs, Academy certifications, partner program
Documentation hub – Docs, tutorials, API references
Support channels – Email, in-app chat, dedicated managers (Premium+)
Open-source – Python SDK, Postman, GitHub examples
Community – 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
⚠️ KB accuracy issues – Reviews cite "often inaccurate", not ideal document Q&A
⚠️ Workflow-first platform – Excels orchestration, lags specialized RAG platforms
⚠️ Steep learning curve – Weeks onboarding despite visual interface
⚠️ Pricing complexity – Per-seat/agent fees escalate beyond base costs
⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage
⚠️ SOC 2 Enterprise-only – No SLA guarantees on Pro/Team tiers
Managed service – Less control over RAG pipeline vs build-your-own
Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
Real-time data – Requires re-indexing; not ideal for live inventory/prices
Enterprise 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 agents
Salesforce Agentforce – Native integration for customer service, sales, marketing agents
AWS RAG-as-a-Service – MCP Server for Amazon Bedrock AgentCore, Agents, Quick Suite (Dec 2024)
Four Tools – Passage Retrieval, Answer gen (Amazon Nova), Search, Fetch
Security-First – Inherits document/item-level permissions automatically for trusted answers
Agent step (2024) – Autonomous AI with tool use, decision-making, KB access
Multi-agent orchestration – Supervisor pattern connecting specialized agents for conversation aspects
Hybrid architecture – Hard business logic + Agent networks for flexibility
Human handoff – Smooth transitions with full history transfer to support/sales
Lead capture & CRM – Auto-create in HubSpot/Salesforce/Pipedrive, update deal stages
Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
Multi-Agent Systems – Specialized agents for support, sales, knowledge
Memory & Context – Persistent conversation history across sessions
Tool Integration – Webhooks + 5,000 Zapier apps for automation
Continuous 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 offering
40% Accuracy Improvement – RAG increases base model accuracy according to industry studies
Hybrid Search – Keyword, vector, hybrid search with relevance tuning
100+ Connectors – SharePoint, Salesforce, ServiceNow, Confluence, databases, Slack
Best For – Enterprises with distributed content needing permission-aware search, knowledge hubs, generative answers
Platform Type – WORKFLOW-FIRST with RAG capabilities, NOT pure RAG-as-a-Service
Core Architecture – Visual canvas (50+ blocks) combining intent-based + RAG hybrid
RAG Integration – KB with vector search (Qdrant) + GPT-4, secondary to workflows
Developer Experience – REST API, JS/Python SDKs, custom code blocks, GraphQL
⚠️ RAG Limitations – KB "often inaccurate", no RAG parameter configuration, manual preprocessing
Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
No-code option – 2-minute wizard deployment for non-developers
Hybrid 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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