In this comprehensive guide, we compare CustomGPT 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 CustomGPT and Deepset!
Here are some unique insights on CustomGPT:
CustomGPT.ai is our own RAG-as-a-Service platform—a way to turn your internal data into a smart assistant without wrestling with infrastructure. Whether you drop in files or point it at a website, it handles the heavy lifting and gives you a clean API (plus a friendly UI) so both developers and business folks can get moving fast.
We built CustomGPT.ai to take the pain out of AI roll-outs: everything works out of the box, yet you can dig deeper whenever you need tighter integrations or special tweaks.
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
CustomGPT and Deepset.
Detailed Feature Comparison
Features
CustomGPT
Deepset
Data Ingestion & Knowledge Sources
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.
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.
Integrations & Channels
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.
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
Core Chatbot Features
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.
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.
Customization & Branding
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.
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
L L M Model Options
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.
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
Developer Experience ( A P I & S D Ks)
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
APIÂ 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.
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
Integration & Workflow
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.
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
Performance & Accuracy
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.
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
Uses role-based access so business users and devs can collaborate smoothly.
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.
Final Thoughts
We hope you found this comparison of CustomGPT vs
Deepset helpful.
In short, CustomGPT.ai is designed to help you scale quick and stay confident. A straightforward dashboard, solid performance, and responsive support mean you spend less time worrying about the plumbing and more time shipping great features.
Thanks for checking out what CustomGPT.ai can do. If you have questions or want a hand getting started, our team’s always here to help.
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!
Ready to Get Started with CustomGPT?
Join thousands of businesses that trust CustomGPT for their AI needs. Choose the path that works best for you.
The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.
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.
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