Pyx vs Supavec

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Pyx vs Supavec Comparison
Priyansh Khodiyar's avatar
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 Pyx 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 Pyx and Supavec!

Here are some unique insights on Pyx:

Pyx AI offers an internal knowledge search tool that employees can use right away—no APIs or code required. It’s great for quick wins inside the company but less flexible for external branding or deep integrations.

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 Pyx and Supavec.

Detailed Feature Comparison

Features
logo of pyx
Pyx
logo of supavec
Supavec
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CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Focuses on unstructured data—you simply point it at your files and it indexes them right away. Appvizer mention
  • Keeps connected file repositories in sync automatically, so any document changes show up almost instantly.
  • Works with common formats (PDF, DOCX, PPT, text, and more) and turns them into a chat-ready knowledge store.
  • Doesn’t try to crawl whole websites or YouTube—the ingestion scope is intentionally narrower than CustomGPT’s.
  • Built for enterprise-scale volumes (exact limits not published) and aims for near-real-time indexing of large corporate data sets.
  • 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
  • Comes with its own chat/search interface rather than a “deploy everywhere” model.
  • No built-in Slack bot, Zapier connector, or public API for external embeds.
  • Most users interact through Pyx’s web or desktop UI; synergy with other chat platforms is minimal for now.
  • Any deeper integration (say, Slack commands) would require custom dev work or future product updates.
  • 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
  • Delivers conversational search over enterprise documents and keeps track of context for follow-up questions. Appvizer reference
  • Geared toward internal knowledge management—features like lead capture or human handoff aren’t part of the roadmap.
  • Likely supports multiple languages to some extent, though it’s not a headline feature the way it is for CustomGPT.
  • Stores chat history inside the interface, but offers fewer business-oriented analytics than products with customer-facing use cases.
  • 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
  • Designed as an internal tool with its own UI, so only minimal branding tweaks (logo/colors) are available.
  • No white-label or domain-embed options—Pyx lives as a standalone interface rather than a widget on your site.
  • The look and feel stay “Pyx AI” by design; public-facing brand alignment isn’t the goal here.
  • Emphasis is on security and user management over front-end theming.
  • 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
  • Doesn’t expose model choice—Pyx likely runs GPT-3.5 or GPT-4 under the hood, but you can’t switch or fine-tune it.
  • No toggles for speed vs. accuracy; every query uses the same model configuration.
  • Focuses on its RAG engine with a single, undisclosed LLM—less flexible than tools that let you pick GPT-3.5 or GPT-4 explicitly.
  • No advanced re-ranking or multi-model routing options are mentioned.
  • 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)
  • No open API or official SDKs—everything happens through the Pyx interface.
  • Embedding Pyx into other apps or calling it programmatically isn’t supported today.
  • Closed ecosystem: no GitHub examples or community plug-ins.
  • Great for teams wanting a turnkey tool, but it limits deep customization or dev-driven extensions.
  • 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
  • Intended for employees to log in and query knowledge—no default embedding into external apps or websites.
  • No automation triggers or webhooks; usage is manual: ask a question, get an answer.
  • Scales to large data sets and supports role-based access, but lacks concepts like multi-bot setups. User management note
  • For broader processes, each user still needs to open the Pyx app, limiting workflow integration.
  • 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
  • Aims to serve accurate, real-time answers from internal documents—though public benchmark data is sparse.
  • Likely competitive with standard GPT-based RAG systems on relevance and hallucination control.
  • No detailed info on anti-hallucination tactics or turbo re-ranking like CustomGPT touts.
  • Auto-sync keeps documents fresh, so retrieval context is always current.
  • 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)
  • Auto-sync keeps your knowledge base updated without manual uploads.
  • No persona or tone controls—the AI voice stays neutral and consistent.
  • Strong access controls let admins set who can see what, although deeper behavior tweaks aren’t available.
  • A closed, secure environment—great for content updates, limited for AI behavior tweaks or deployment variety.
  • 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
  • Uses a seat-based plan (~$30 per user per month).
  • Cost-effective for small teams, but can add up if everyone in the company needs access.
  • Document or token limits aren’t published—content may be “unlimited,” gated only by user seats.
  • Offers a free trial and enterprise deals; scaling is as simple as buying more seats.
  • 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
  • Enterprise-grade privacy: each customer’s data is isolated and encrypted in transit and at rest.
  • Based in Germany, so GDPR compliance is implied; no data mixing between accounts.
  • Doesn’t train external LLMs on your data—queries stay private beyond internal indexing.
  • Role-based access is built-in, though on-prem deployment or detailed certifications aren’t publicly documented.
  • 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
  • Admins get basic stats on user activity, query counts, and top-referenced documents.
  • No deep conversation analytics or real-time logging dashboards.
  • Useful for tracking adoption, but lighter on insights than solutions with full analytics suites.
  • Mostly “set it and forget it”—contact Pyx support if something seems off.
  • 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
  • Offers direct email, phone, and chat support, plus a hands-on onboarding approach.
  • No large open-source community or external plug-ins—it’s a closed solution.
  • Product updates come from Pyx’s own roadmap; user-built extensions aren’t part of the ecosystem.
  • Focuses on quick setup and minimal admin overhead for internal knowledge search.
  • 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
  • Great if you want a no-fuss, internal knowledge chat that employees can use without coding.
  • Not ideal for public-facing chatbots or developer-heavy customization.
  • Shines as a single, siloed AI search environment rather than a broad, extensible platform.
  • Simpler in scope than CustomGPT—less flexible, but easier to stand up quickly for internal use cases.
  • 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
  • Presents a straightforward web/desktop UI: users log in, ask questions, and get answers—no coding needed.
  • Admins connect data sources through a no-code interface, and Pyx indexes them automatically.
  • Offers minimal customization controls on purpose—keeps the UI consistent and uncluttered.
  • Perfect for an internal Q&A hub, but not for external embedding or heavy brand customization.
  • 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 Pyx vs Supavec helpful.

If an easy internal search assistant is your goal, Pyx fits nicely. If you need full customization or external deployment, its closed approach could be limiting.

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's avatar

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.