What are the main differences between Coveo and Deepset?

Coveo and Deepset differ in features, pricing, and target audience. Coveo excels in specific use cases while Deepset offers different strengths. Our detailed comparison covers all key differences to help you choose.

Which is better: Coveo or Deepset?

The better choice between Coveo and Deepset depends on your specific needs. Consider factors like budget, required features, team size, and technical requirements. Our comparison tool helps you evaluate both options side-by-side.

How much does Coveo cost compared to Deepset?

Pricing varies between Coveo and Deepset. Both offer different pricing tiers and models. Check our detailed pricing comparison to see which fits your budget and requirements better.

Can I switch from Coveo to Deepset easily?

Migration between Coveo and Deepset depends on your current setup and data. Many tools offer migration assistance or import features. Review our migration guide section for specific steps and considerations.

What integrations do Coveo and Deepset support?

Both Coveo and Deepset offer various integrations with popular tools and platforms. Our comparison includes a detailed integration matrix to help you ensure compatibility with your existing tech stack.

Coveo vs Deepset

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

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Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Coveo and Deepset across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

Welcome to the comparison between Coveo and Deepset!

Here are some unique insights on Coveo:

Coveo adds RAG features to its enterprise search platform, folding AI answers into a unified index of SharePoint, Salesforce, file shares, and more. It’s powerful, especially with built-in permission filters, but setup targets larger orgs that already rely on Coveo for search.

And here's more information on Deepset:

Deepset lets you stitch together RAG pipelines piece by piece: link data sources, choose models, tweak retrieval steps. Developers love the freedom, but casual users may find the learning curve steep.

Enjoy reading and exploring the differences between Coveo and Deepset.

Detailed Feature Comparison

Features	Coveo	Deepset	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources	Pulls content from a long list of enterprise sources—SharePoint, Salesforce, ServiceNow, Confluence, databases, file shares, Slack, websites—and merges it all into one index with native connectors. Runs OCR and handles structured data, so it can index scanned docs, intranet pages, knowledge articles, and even multimedia. Keeps the index fresh with incremental crawls, push APIs, and scheduled syncs—new or updated content shows up fast.	Gives developers a flexible framework to wire up connectors and process nearly any file type or data source with libraries like Unstructured. Lets you push content into vector stores such as OpenSearch, Pinecone, Weaviate, or Snowflake—pick the backend that fits best. Learn more Setup is hands-on, but the payoff is deep, domain-specific customization of your ingestion pipelines.	Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API. Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs. Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text. View Transcription Guide Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier. See Zapier Connectors Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels	Ships Atomic UI components you can drop into search pages, support hubs, or commerce sites to surface generative answers. Connects natively to platforms like Salesforce and Sitecore, letting AI answers appear right inside tools your team already uses. Need a custom channel? Its robust REST APIs let you build bespoke chatbots or virtual assistants on top of Coveo’s retrieval engine.	API-first approach—drop the RAG system into your own app through REST endpoints or the Haystack SDK. Shareable pipeline prototypes are great for demos, but production channels (Slack bots, web chat, etc.) need a bit of custom code. See prototype feature	Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app. Offers ready-made hooks for Slack, Zendesk, Confluence, YouTube, Sharepoint, 100+ more. Explore API Integrations Connects with 5,000+ apps via Zapier and webhooks to automate your workflows. Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases. Hosted CustomGPT.ai offers hosted MCP Server with support for Claude Web, Claude Desktop, Cursor, ChatGPT, Windsurf, Trae, etc. Read more here. Supports OpenAI API Endpoint compatibility. Read more here.
Core Chatbot Features	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.	Builds RAG agents as modular pipelines—retriever + reader, plus optional rerankers or multi-step logic. Multi-turn chat? Source attributions? Fine-grained retrieval tweaks? All possible with the right config. Pipeline overview Advanced users can layer in tool use and external API calls for richer agent behavior.	Reduces hallucinations by grounding replies in your data and adding source citations for transparency. Benchmark Details Handles multi-turn, context-aware chats with persistent history and solid conversation management. Speaks 90+ languages, making global rollouts straightforward. Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Customization & Branding	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.	No drag-and-drop theming here—you’ll craft your own front end if you need branded UI. That also means full freedom to shape the visuals and conversational tone any way you like. Custom components	Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand. White-label Options Provides a no-code dashboard to set welcome messages, bot names, and visual themes. Lets you shape the AI’s persona and tone using pre-prompts and system instructions. Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options	Runs primarily on OpenAI GPT models via Azure OpenAI, delivering high-quality text. If you prefer another model, the Relevance-Augmented Passage Retrieval API lets you plug in your own LLM. Handles model tuning and prompt optimization behind the scenes, though you can override via API when needed.	Model-agnostic: plug in GPT-4, Llama 2, Claude, Cohere, and more—whatever works for you. Switch models or embeddings through the “Connections” UI with just a few clicks. View supported models	Taps into top models—OpenAI’s GPT-4, GPT-3.5 Turbo, and even Anthropic’s Claude for enterprise needs. Automatically balances cost and performance by picking the right model for each request. Model Selection Details Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers. Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)	Provides mature REST APIs and SDKs (Java, .NET, JavaScript) for indexing, connector management, and querying. Ready-made Atomic and Quantic components help you add generative answers to the front end fast. Docs are enterprise-grade, with step-by-step guides for pipelines and index management.	Comprehensive REST API plus the open-source Haystack SDK for building, running, and querying pipelines. Deepset Studio’s visual editor lets you drag-and-drop components, then export YAML for version control. Studio overview	Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat. API Documentation Offers open-source SDKs—like the Python `customgpt-client`—plus Postman collections to speed integration. Open-Source SDK Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Integration & Workflow	Slots into enterprise workflows by indexing multiple systems without moving the data. Incremental indexing and push updates mean new content is searchable almost immediately. Generative answer widgets can be embedded wherever you need a unified search experience.	Embed deeply into enterprise stacks—custom connectors, bespoke endpoints, the works. Schedule ETL jobs and route data conditionally right from the pipeline config. Deployment API	Gets you live fast with a low-code dashboard: create a project, add sources, and auto-index content in minutes. Fits existing systems via API calls, webhooks, and Zapier—handy for automating CRM updates, email triggers, and more. Auto-sync Feature Slides into CI/CD pipelines so your knowledge base updates continuously without manual effort.
Performance & Accuracy	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.	Tune for max accuracy with multi-step retrieval, hybrid search, and custom rerankers. Mix and match components to hit your latency targets—even at large scale. Benchmark insights	Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching. Independent tests rate median answer accuracy at 5/5—outpacing many alternatives. Benchmark Results Always cites sources so users can verify facts on the spot. Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
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.	Build anything: multi-hop retrieval, custom logic, bespoke prompts—your pipeline, your rules. Create multiple datastores, add role-based filters, or pipe in external APIs as extra tools. Component templates	Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current. Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus. Learn How to Update Sources Supports multiple agents per account, so different teams can have their own bots. Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Pricing & Scalability	Sold under enterprise licenses—pricing depends on sources, query volume, and feature set. Scales to millions of queries with 99.999 % uptime and regional data-center options. Usually involves annual contracts with volume tiers and optional premium support.	Start free in Deepset Studio, then move to usage-based Enterprise plans as you scale. Deploy in cloud, hybrid, or on-prem setups to handle huge corpora and heavy traffic. Pricing overview	Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans. Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates. View Pricing Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Security & Privacy	Holds ISO 27001/27018 and SOC 2 certifications, plus HIPAA-compatible deployments. Granular access controls ensure users only see what they’re authorized to view. Can run in private cloud or on-prem for organizations with strict data-residency needs.	SOC 2 Type II, ISO 27001, GDPR, HIPAA—you’re covered for enterprise compliance. Choose cloud, VPC, or on-prem to keep data exactly where you need it. Security compliance	Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption. Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private. Security Certifications Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring	Built-in analytics dashboard tracks query volume, engagement, and generative-answer performance. Detailed pipeline logs can be exported for deeper analysis. Supports A/B testing in the query pipeline to measure impact and fine-tune relevance.	Deepset Studio dashboard shows latency, error rates, resource use—everything you’d expect. Detailed logs integrate with Prometheus, Splunk, and more for deep observability. Monitoring features	Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status. Lets you export logs and metrics via API to plug into third-party monitoring or BI tools. Analytics API Provides detailed insights for troubleshooting and ongoing optimization.
Support & Ecosystem	Comes with enterprise-grade support—account managers, 24/7 help, and extensive training programs. Large partner network and the Coveo Connect community provide docs, forums, and certified integrations. Regular product updates and industry events keep you ahead of the curve.	Lean on the Haystack open-source community (Discord, GitHub) or paid enterprise support. Community insights Wide ecosystem of vector DBs, model providers, and ML tools means plenty of plug-ins and extensions.	Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast. Developer Docs Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs. Enterprise Solutions Benefits from an active user community plus integrations through Zapier and GitHub resources.
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. Powerful but best suited for organizations with an established IT team to tune and maintain it.	Perfect for teams that need heavily customized, domain-specific RAG solutions. Full control and future portability—but expect a steeper learning curve and more dev effort. More details	Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required. Gets you to value quickly: launch a functional AI assistant in minutes. Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech. Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
No- Code Interface & Usability	Admin console and Atomic components let you get started with minimal code. The end-user search UI is polished, but full generative setup usually calls for developer involvement. Great for teams that already have technical resources or use Coveo today; more complex than a pure no-code tool.	Deepset Studio offers low-code drag-and-drop, yet it’s still aimed at developers and ML engineers. Non-tech users may need help, and production UIs will be custom-built.	Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance. Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing. User Experience Review Uses role-based access so business users and devs can collaborate smoothly.

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Final Thoughts

We hope you found this comparison of Coveo vs Deepset helpful.

If robust search plus AI answers across many touchpoints is your goal—and you have the resources for a fuller implementation—Coveo is worth exploring. For a quick standalone chatbot, its breadth could be more than you need.

If your team enjoys building from components and wants total control, Deepset is a strong choice. Otherwise, a simpler, managed platform might save time.

Stay tuned for more updates!

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Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.