What are the main differences between Deepset and Supavec?

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

Which is better: Deepset or Supavec?

The better choice between Deepset and Supavec 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 Supavec?

Pricing varies between Deepset and Supavec. 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 Supavec easily?

Migration between Deepset and Supavec 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 Supavec support?

Both Deepset and Supavec 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 Supavec

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 Supavec 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 Supavec!

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 Supavec:

Supavec is an open-source RAG API for devs who want full control. Upload PDFs, Markdown, or raw text via REST and build your own connectors for other data. Flexibility is high, but you’ll write more code—there’s no one-click Google Drive or Notion sync.

The upside: you own the stack. The trade-off: extra scripting and a lack of a polished no-code UI.

Enjoy reading and exploring the differences between Deepset and Supavec.

Detailed Feature Comparison

Features	Deepset	Supavec	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.	Drop content in via REST: upload PDFs, Markdown, or TXT [Upload File] or send raw text [Upload Text]. No one-click Google Drive or Notion connectors—you’ll script the fetch and hit the API yourself. Because it’s open source, you can build connectors to anything—Postgres, Mongo, S3, you name it. Runs on Supabase and scales sideways, chunking millions of docs for fast retrieval.	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	Pure REST for retrieval and generation—no built-in widget or Slack bot. You code the chat UI or Slack bridge, calling Supavec for answers. No Zapier—webhooks and automations are DIY inside your app. If it speaks HTTP, it can talk to Supavec—you just handle the front-end.	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	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.	Just the essentials: retrieve chunks + LLM answer. Calls are stateless, no baked-in chat history. No lead capture or human handoff—add those in your own layer. Pulls the right text fast, then lets your LLM craft the reply. Perfect if you only need raw RAG and will build the conversation bits yourself.	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 pre-made UI, no theming—branding lives in whatever front-end you create. Open source means zero “Supavec” label to hide—your app, your look. Add domain checks or auth however you like in your code. It’s “white-label” by default because Supavec is API-only.	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	Model-agnostic: defaults to GPT-3.5, but switch to GPT-4 or any self-hosted model if you’d like. No fancy toggle—just change a config or prompt path in code. No extra prompt magic or anti-hallucination layer—plain RAG. Quality rests on the LLM you choose and how you prompt it.	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	Straightforward REST endpoints for file uploads, text uploads, and search. [Examples] No official SDKs—use fetch/axios or roll your own wrapper. Docs are concise with JS snippets; Postman collection included. Full source is on GitHub, welcoming community tweaks.	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	Think of it as a Lego brick: upload content, query matches, feed results to your LLM. No built-in triggers—external actions are on you. Scale horizontally on Supabase when self-hosted, or use the hosted plan (with API-call limits). Big orgs can chat about higher tiers or dedicated infra for heavy traffic.	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	Accuracy = GPT quality + standard RAG lift—no extra guardrails. Postgres vector search keeps retrieval snappy, even with millions of chunks. No public head-to-head benchmarks yet; expect “typical GPT-3.5/4 RAG” results. If you want citations or extra checks, you’ll prompt-engineer them yourself.	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	Upload or overwrite docs any time—re-embeds almost instantly. Behavior lives in your prompts; there’s no GUI for personas. Multi-lingual works fine—just tell the LLM in your prompt. Add metadata, tweak chunking—then build logic around it as needed.	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	MIT-licensed open source: self-host for free (pay your own infra). Hosted plans: Free (100 calls/mo), Basic $190/yr (750 calls/mo), Enterprise $1,490/yr (5 k calls/mo). [Pricing] Need more calls? Negotiate or self-host to ditch caps. Storage isn’t metered—only query volume counts toward the plan.	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	Self-hosting keeps everything on your servers—great for tight compliance. [Privacy note] Hosted Supavec runs on Supabase with row-level security—each team’s data is fenced off. No training on your docs—data stays yours. Enterprises can go dedicated or on-prem for HIPAA/GDPR peace of mind.	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	No dashboard baked in—log requests yourself or use Supabase metrics when self-hosting. Hosted plan shows basic call counts; no transcript analytics out of the box. Need deep insights? Wire up your own monitoring layer. Designed to play nicely with external logging tools, not ship its own.	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.	Community help via GitHub/Discord; paid plans unlock email or priority support. [Docs] Open-source means forks, PRs, and home-grown connectors are welcome. Docs are lean—mostly endpoint references rather than big tutorials. Code samples pop up in the community, but it’s not a huge library yet.	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	No vendor lock-in: transparent code, offline option, host wherever you like. Focuses on core RAG—no SSO, dashboards, or fancy UI included. Great for devs who want full control or must keep data in-house. Conversation flow, advanced prompts, fancy UI—all yours to build.	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.	No drag-and-drop dashboard—everything’s via API or CLI. Meant for code-first teams who’ll bolt it into their own chat or workflow. Self-hosters can craft custom GUIs on top, but Supavec keeps the slate blank. If you want a business-user UI like CustomGPT, you’ll layer that yourself.	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 Supavec 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.

Supavec is perfect when you value transparency and control over convenience. If you’d rather avoid extra coding and maintenance, a managed, plug-and-play platform may be a better fit.

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.