Supavec vs Vectara: A Detailed Comparison

Priyansh Khodiyar's avatar
Priyansh KhodiyarDevRel at CustomGPT
Comparison Image cover for the blog Supavec vs Vectara

Fact checked and reviewed by Bill. Published: 01.04.2024 | Updated: 25.04.2025

In this article, we compare Supavec and Vectara across various parameters to help you make an informed decision.

Welcome to the comparison between Supavec and Vectara!

Here are some unique insights 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.

And here's more information on Vectara:

Vectara caters to teams that need precision. Its APIs, SDKs, and flexible deployment options (even VPC or on-prem) let you decide exactly how ingestion and retrieval behave. If tweaking search weights and balancing semantic vs. keyword results sounds exciting, Vectara will feel at home.

Just know that the setup and ongoing tuning are a bit heavier than one-size-fits-all tools.

Enjoy reading and exploring the differences between Supavec and Vectara.

Comparison Matrix

Feature
logo of supavecSupavec
logo of vectaraaiVectara
logo of customGPT logoCustomGPT
Data Ingestion & Knowledge Sources
  • 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.
  • Pulls in just about any document type—PDF, DOCX, HTML, and more—for a thorough index of your content (Vectara Platform).
  • Packed with connectors for cloud storage and enterprise systems, so your data stays synced automatically.
  • Processes everything behind the scenes and turns it into embeddings for fast semantic search.
  • 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
  • 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.
  • Robust REST APIs and official SDKs make it easy to drop Vectara into your own apps.
  • Embed search or chat experiences inside websites, mobile apps, or custom portals with minimal fuss.
  • Low-code options—like Azure Logic Apps and PowerApps connectors—keep workflows simple.
  • 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
  • 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.
  • Combines smart vector search with a generative LLM to give context-aware answers.
  • Uses its own Mockingbird LLM to serve answers and cite sources.
  • Keeps track of conversation history and supports multi-turn chats for smooth back-and-forth.
  • 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 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.
  • Full control over look and feel—swap themes, logos, CSS, you name it—for a true white-label vibe.
  • Restrict the bot to specific domains and tweak branding straight from the config.
  • Even the search UI and result cards can be styled to match your company identity.
  • 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.
LLM Model Options
  • 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.
  • Runs its in-house Mockingbird model by default, but can call GPT-4 or GPT-3.5 through Azure OpenAI.
  • Lets you choose the model that balances cost versus quality for your needs.
  • Prompt templates are customizable, so you can steer tone, format, and citation rules.
  • 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 (API & SDKs)
  • 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.
  • Comprehensive REST API plus SDKs for C#, Python, Java, and JavaScript (Vectara FAQs).
  • Clear docs and sample code walk you through integration and index ops.
  • Secure API access via Azure AD or your own auth setup.
  • 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
  • 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.
  • Plugs into Azure services like Logic Apps and Power BI for end-to-end automation.
  • Low-code connectors and REST endpoints drop search and chat into any custom app.
  • APIs let you wire Vectara into CRM, ERP, or ticketing systems for bespoke workflows.
  • 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
  • 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.
  • Tuned for enterprise scale—expect millisecond responses even with heavy traffic (Microsoft Mechanics).
  • Hybrid search blends semantic and keyword matching for pinpoint accuracy.
  • Advanced reranking and a factual-consistency score keep hallucinations in check.
  • 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)
  • 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.
  • Fine-grain control over indexing—set chunk sizes, metadata tags, and more.
  • Tune how much weight semantic vs. lexical search gets for each query.
  • Adjust prompt templates and relevance thresholds to fit domain-specific needs.
  • 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
  • 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.
  • Usage-based pricing with a healthy free tier—bigger bundles available as you grow (Bundle pricing).
  • Plans scale smoothly with query volume and data size, plus enterprise tiers for heavy hitters.
  • Need isolation? Go with a dedicated VPC or on-prem deployment.
  • 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
  • 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.
  • Encrypts data in transit and at rest—and never trains external models with your content.
  • Meets SOC 2, ISO, GDPR, HIPAA, and more (see Azure Compliance).
  • Supports customer-managed keys and private deployments for full control.
  • 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
  • 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.
  • Azure portal dashboard tracks query latency, index health, and usage at a glance.
  • Hooks into Azure Monitor and App Insights for custom alerts and dashboards.
  • Export logs and metrics via API for deep dives or compliance reports.
  • 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
  • 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.
  • Backed by Microsoft’s support network, with docs, forums, and technical guides.
  • Enterprise plans add dedicated channels and SLA-backed help.
  • Benefit from the broad Azure partner ecosystem and vibrant dev community.
  • 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
  • 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.
  • Hybrid search + reranking gives each answer a unique factual-consistency score.
  • Deploy in public cloud, VPC, or on-prem to suit your compliance needs.
  • Constant stream of new features and integrations keeps the platform fresh.
  • 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
  • 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.
  • Azure portal UI makes managing indexes and settings straightforward.
  • Low-code connectors (PowerApps, Logic Apps) help non-devs integrate search quickly.
  • Complex indexing tweaks may still need a tech-savvy hand compared with turnkey tools.
  • 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.

We hope you found this comparison of Supavec vs Vectara helpful.

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.

Vectara’s depth and enterprise-grade features are a big win when you need custom deployments. If you’re after a fast, plug-and-play experience, be ready for extra configuration work.

Stay tuned for more updates!

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Priyansh Khodiyar's avatar

Priyansh Khodiyar

DevRel at CustomGPT. Passionate about AI and its applications. Here to help you navigate the world of AI tools.