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
Multimodal Indexing – Indexes PDF, Word, Excel, PowerPoint, web pages, images with OCR, audio/video transcription
Programmatic Ingestion – REST API, Python/JS SDKs, CLI for automated data uploads
Sync Agent – Auto-watches cloud drives and sitemaps for continuous nonstop indexing
Language Support – Handles virtually any text-based language (non-pictogram languages only)
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
No-Code Widget – Drop search/Q&A panel onto websites in minutes
Workflow Automation – n8n and Zapier integration for thousands of service connections
API-First Design – Embed into any channel via REST API/SDKs
⚠️ No Native Bots – No one-click Slack/Teams bots (requires custom development)
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.
AI Search + Q&A – Semantic search with generative answers from your data
Source Citations – Shows exact sources for answer transparency and trust
Auto-Summarization – Summarizes long docs with entity recognition and AI classification
Multi-Turn Chat – Handles one-shot Q&A and conversational multi-turn interactions
✅ #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.
Widget Styling – No-code widget offers basic styling customization options
Custom Prompts – Set system prompts to adjust tone and response style
Custom UI – Build fully branded front-end on flexible API
⚠️ Advanced Branding – Deep customization requires developer resources and API integration
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
Model-Agnostic – OpenAI, Azure OpenAI, Google PaLM 2, Cohere, Anthropic, Hugging Face
100% Private GenAI – Keep all processing on Nuclia infrastructure without third-party exposure
Hugging Face Integration – Drop in open-source or domain-specific models easily
Flexible Switching – Swap models per query to optimize cost vs quality balance
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
Rich APIs – REST APIs, Python/JS SDKs, CLI for ingestion and querying
Modular Design – Index first, query later workflow fits dev processes
Self-Host Option – On-prem NucliaDB for complete infrastructure control
Open-Source – NucliaDB GitHub (710+ stars, AGPLv3) with transparent code
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.
Quality-Based RAG – Focused on trusted, source-linked answers with citation attribution
Hybrid Search – Tune semantic vs keyword weighting for domain precision
Entity Enrichment – Summaries and entity extraction improve Q&A quality
Large-Scale Ready – Scales to large datasets; speed depends on LLM choice
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.
Retrieval Tuning – Adjust chunk sizes, weighting, metadata filters for precision
Per-Query Prompts – Custom prompts per query for dynamic persona/style
Knowledge Boxes – Multiple isolated data spaces with tags for scope
Structured Output – Return JSON or fine-tune private models for specific needs
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
Consumption Model – Base license plus usage costs (indexing, queries, LLM calls)
Granular Control – Light usage stays cheap, scales automatically for heavy use
Free Trial – Hands-on evaluation before committing to paid plans
On-Prem Economics – Self-hosting provides cost control with existing infrastructure
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
GDPR Compliant – EU-based with strict data protection; no cross-customer training
Data Isolation – Knowledge Boxes with disk encryption and tenant separation
On-Prem Deployment – Self-host NucliaDB for complete data residency and control
Enterprise SSO – Role-based access with regional data centers (EU available)
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
Usage Dashboard – Track token spend for indexing and query operations
Activity Logs – Audit trails for ingestion and query events
API/CLI Access – Send logs to Splunk, Elastic, or monitoring tools
⚠️ Custom Analytics – Conversation analytics require custom front-end implementation
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
Documentation – Comprehensive docs, API reference, code samples, quick-start guides
Community – Slack community, Stack Overflow, developer forums for peer support
LangChain Integration – Official integration with popular AI frameworks
Enterprise Support – Dedicated assistance for on-prem/hybrid installations
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.
✅ Beyond Search – AI search, Q&A, classification, multi-language multimodal indexing
✅ Enterprise RAG – Replace legacy search across text, audio, video content
✅ Open-Source Core – Reduces lock-in, enables extension and self-hosting
⚠️ DevOps Effort – Advanced setups need ML/DevOps resources for deployment
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
No-Code Dashboard – Create Knowledge Box → upload data → tune → embed widget
Defaults Work – Out-of-box settings are production-ready for basic use
⚠️ Technical Sliders – Advanced retrieval/prompt options may confuse non-technical users
⚠️ Custom UI Needed – Full branding requires building on API front-end
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 – API-first RAG platform with multimodal indexing and model-agnostic architecture
Target Customers – Dev teams needing text/audio/video search with on-prem/hybrid deployment options
Key Competitors – Deepset/Haystack, Vectara.ai, Azure AI Search, custom RAG implementations
Competitive Advantages – Multimodal OCR/speech-to-text, 100% private GenAI, open-source NucliaDB portability
Pricing Advantage – Consumption model controls costs; light usage cheap, enterprise-ready scalability
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
Model-Agnostic – OpenAI, Azure OpenAI, PaLM 2, Cohere, Anthropic, Hugging Face
Private GenAI – 100% Nuclia-hosted infrastructure option for data isolation
Flexible Switching – Swap models per query without architectural changes
Local Models – Self-hosted models supported (requires extra setup)
✅ Developer Freedom – Choose optimal LLM per Knowledge Box or query
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
Quality-Based RAG – Trusted answers with comprehensive source citations for transparency
Hybrid Search – Combine semantic vectors with keyword matching for precision
Customizable Chunking – Adjust chunk sizes, weighting, segmentation for context windows
Knowledge Graph – Auto entity/relationship extraction enriches corpus for Q&A
Multimodal Indexing – OCR for images, speech-to-text creates comprehensive knowledge base
✅ Open Architecture – NucliaDB open-source provides transparency vs black-box competitors
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
Enterprise Search – Modernize legacy search with AI across text/audio/video
Customer Support – Internal Q&A for support teams from product documentation
Multimodal Discovery – Unified search across PDFs, videos, audio, presentations
Regulatory Compliance – GDPR-compliant retrieval with data residency guarantees
Developer RAG Backend – API-first infrastructure for custom AI applications
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
GDPR Compliant – EU-based; customer data never used for model training
Data Isolation – Knowledge Boxes with disk encryption; zero cross-training
On-Prem Options – Self-host NucliaDB and local LLMs for data sovereignty
Enterprise SSO – Identity provider integration with role-based access control
Regional Centers – EU and other regions for local data residency laws
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
Pricing Model – License plus consumption (base plus indexing/queries/LLM calls)
Free Trial – Available for hands-on evaluation before commitment
Granular Control – Pay for usage; light stays cheap, scales automatically
Transparent Billing – Storage, indexing, queries, LLM usage clearly itemized
Best Value For – Organizations optimizing costs through usage control vs seat-based pricing
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
Comprehensive Docs – docs.nuclia.dev with guides, API reference, code examples
Active Community – Slack community, Stack Overflow, developer forums
Open-Source – NucliaDB GitHub (710+ stars, AGPLv3) with transparent code
LangChain Integration – Official integration for AI framework ecosystem compatibility
Enterprise Support – Dedicated support for on-prem/hybrid installations
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
⚠️ API-First Complexity – Developer-focused; not plug-and-play for non-technical teams
⚠️ No Turnkey UI – Advanced branding requires building custom front-end
⚠️ No Native Bots – Slack/Teams bots require custom API development
⚠️ Language Limits – Cannot index pictogram-based languages (Japanese, Chinese characters)
⚠️ Learning Curve – Advanced RAG parameters feel technical for beginners
✅ Best For Developers – Capable platform for technical teams with resources
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
Agentic RAG – Autonomous decision-making for retrieval strategies vs manual configuration
CrewAI Integration – Official integration for orchestrating autonomous AI agent teams
AI Search Copilot – Customizable LLM agents for employee support and customer service
Ingestion Agents (Beta) – Auto-labeling, summarization, graph extraction, Q&A generation, content safety
⚠️ Missing Features – No lead capture, human handoff, proactive alerting workflows
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 – TRUE RAG-AS-A-SERVICE with managed infrastructure and API-first design
Agentic Focus – Progress Agentic RAG with autonomous decision-making capabilities
Fully Managed – Hosted NucliaDB with auto-scaling, chunking, embedding, no infrastructure management
Model-Agnostic Service – Switch LLM providers without architectural changes (OpenAI, Azure, PaLM, Anthropic)
Agent-Ready – Only RAG platform designed for AI agents (CrewAI, LangChain compatible)
Hybrid Deployment – Cloud-managed with on-prem NucliaDB for data sovereignty
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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