What are the main differences between Deepset and SiteGPT?

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

Which is better: Deepset or SiteGPT?

The better choice between Deepset and SiteGPT 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 Deepset cost compared to SiteGPT?

Pricing varies between Deepset and SiteGPT. 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 Deepset to SiteGPT easily?

Migration between Deepset and SiteGPT 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 Deepset and SiteGPT support?

Both Deepset and SiteGPT 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.

Deepset vs SiteGPT

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 Deepset and SiteGPT 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 Deepset and SiteGPT!

Here are some unique insights 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.

And here's more information on SiteGPT:

SiteGPT.ai is a no-code chatbot builder focused on customer support. Point it at your site, upload docs, and you’ll have a widget in minutes. Handy, though manual retraining and “coming soon” integrations hint it’s still maturing.

Enjoy reading and exploring the differences between Deepset and SiteGPT.

Detailed Feature Comparison

Features	Deepset	SiteGPT	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources	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.	Crawls entire sites by URL or sitemap—thousands of pages in one go. Learn how Accepts uploads in CSV, TXT, PDF, DOCX, PPTX, and Markdown (10 MB per file). File upload info Connects to Google Drive, Dropbox, OneDrive, Notion, Confluence, GitBook, and more out of the box. View integrations Scales to big libraries—up to 100 k pages on the Enterprise tier. Retraining is manual for now (click a button), with automated retrain cycles on the roadmap. Retraining details	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	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	Ships native connectors for Slack, Google Chat, Facebook Messenger, Crisp, Freshchat, Zendesk Chat, Zoho SalesIQ, and more. See Slack integration Embed on any site with a quick script or iframe—works on web and mobile. Embed instructions Higher tiers add webhook support for event-driven hooks into your own systems.	Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app. Offers ready-made hooks for Slack, Microsoft Teams, WhatsApp, Telegram, and Facebook Messenger. 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.
Core Chatbot Features	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.	Strong Q&A for support, with multi-turn history visible in the admin dashboard. Handles 95 + languages to help a global audience. Language support Captures leads automatically during chat sessions. Built-in human handoff lets users escalate to a live agent when needed. Escalation details Tracks sentiment and conversation metrics so you can watch performance in real time.	Powers retrieval-augmented Q&A with GPT-4 and GPT-3.5 Turbo, keeping answers anchored to your own content. 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	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	No-code dashboard to swap logos, colors, and welcome text in seconds. Customize appearance White-label add-on removes SiteGPT branding for a seamless look. White-label option Choose preset Personas to set tone and voice for each bot.	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	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	Pick GPT-4o-mini for speed or full GPT-4o for deeper answers. Model options Select the mode per chatbot, balancing response time against depth as you like.	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)	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	REST API for bot management, content uploads, and fetching answers. API getting started Manage Quick Prompts and Personas via API—no multi-language SDK yet, but REST makes it straightforward.	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	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	Embed on sites, pipe into chat channels, and auto-escalate to humans—ideal for support flows. Webhooks on Scale / Enterprise tiers trigger external actions like Zendesk tickets. Pricing & webhooks Scheduled retraining keeps the bot current with live site changes.	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	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	Retrieval-augmented generation keeps answers factual and on-topic. Two modes (fast vs. accurate) let you choose speed or depth. Model modes Fallback replies and handoff workflows cover edge cases gracefully.	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)	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	Click “Retrain” to upload new files or re-crawl a site—no tech skills required. Personas and Quick Prompts steer the conversation style; higher plans add custom rules. Persona configuration Run multiple chatbots under one account, each with its own data set.	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	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	Growth plan (~$79/mo), Pro/Scale (~$259/mo), plus an Enterprise tier. View pricing Limits scale with message counts, bots, pages crawled, and file uploads—add-ons boost capacity when needed.	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	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	Uses HTTPS/TLS in transit and encrypted storage at rest—industry-standard security. Data stays in your workspace; formal certifications aren’t front-and-center, but best practices are followed.	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	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	Dashboard shows chat histories, analytics, and trends in one place. Dashboard example Daily email digests keep teams updated without logging in.	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	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.	Email support and a “Submit a Request” form for new features or integrations. Submit a request Active blog, Product Hunt launches, and an agency partner program grow the ecosystem.	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	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	Built-in “Functions” let the bot trigger actions—like opening a support ticket—directly from chat. Learn about Functions SourceSync headless API offers a pure RAG backend when you need more developer control.	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	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.	Guided dashboard lets anyone paste a URL or upload files and launch a bot in minutes. Pre-built integrations and a copy-paste embed snippet make deployment a breeze. Embed instructions Live demo plus 7-day free trial means you can test risk-free.	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 Deepset vs SiteGPT helpful.

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

SiteGPT is great for moderate support loads and quick setup. For enterprise-grade automation or continuous sync, its manual steps could become a bottleneck.

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.