Azumo vs Supavec

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

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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 Azumo and Supavec across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between Azumo and Supavec, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

  • Choose Azumo if: you value highly skilled nearshore developers in same timezone
  • Choose Supavec if: you value 100% open source with no vendor lock-in

About Azumo

Azumo Landing Page Screenshot

Azumo is top-rated nearshore ai development services for custom solutions. Azumo is a leading nearshore software development company specializing in custom AI and machine learning solutions, offering dedicated teams and enterprise-grade development services for businesses looking to build intelligent applications. Founded in 2016, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
92/100
Starting Price
$100000/mo

About Supavec

Supavec Landing Page Screenshot

Supavec is the open source rag as a service platform. SupaVec is an open-source RAG platform that serves as an alternative to Carbon.ai. Built on transparency and data sovereignty, it allows developers to build powerful RAG applications with complete control over their infrastructure, supporting any data source at any scale. Founded in 2024, headquartered in Remote, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
84/100
Starting Price
Custom

Key Differences at a Glance

In terms of user ratings, Azumo in overall satisfaction. From a cost perspective, Supavec offers more competitive entry pricing. The platforms also differ in their primary focus: AI Development versus RAG Platform. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

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Azumo
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Supavec
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Data Ingestion & Knowledge Sources
  • Custom ETL Pipelines – Pulls from proprietary systems, SharePoint, wikis, cloud storage into single index
  • Unstructured + Structured – PDFs, HTML, multimedia, databases, spreadsheets unified knowledge base Learn more
  • Vector Databases – Pinecone, Weaviate integration for domain-specific data indexing and retrieval
  • REST API Upload – PDFs, Markdown, TXT via API endpoints or raw text
  • No Pre-Built Connectors – ⚠️ Script your own Google Drive/Notion fetchers
  • Open Source Extensibility – ✅ Build connectors to Postgres, MongoDB, S3
  • Supabase Scalability – Handles millions of docs with horizontal scaling
  • 1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
  • Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
  • Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
  • Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
  • Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
  • Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
  • Bespoke Connectors – Custom integrations for CRM, ERP, internal intranets, legacy systems
  • Multi-Channel Deployment – Web, mobile, Slack, Microsoft Teams via custom interfaces Integration services
  • Pure REST API – No built-in widget or messaging platform bots
  • DIY Front-End – ⚠️ Code your own chat UI or Slack bridge
  • HTTP Compatibility – ✅ Any HTTP-capable app can integrate
  • No Zapier – ⚠️ Webhooks and automations are manual
  • Website embedding – Lightweight JS widget or iframe with customizable positioning
  • CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
  • 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
  • MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
  • OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
  • LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
  • RAG Agents – Context-rich answers via advanced relevancy search and prompt engineering
  • Multi-Turn Conversations – Context retention with source attribution for trust See approach
  • Multi-Agent Systems – Complex agent orchestration and multi-step reasoning for business workflows
  • Basic RAG – Retrieve chunks + LLM answer, stateless calls
  • No Chat History – ⚠️ No built-in conversation tracking
  • No Lead Capture – ⚠️ No human handoff or escalation features
  • Fast Retrieval – ✅ Pulls relevant text quickly for LLM response
  • ✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI
  • ✅ Source citations – Every response includes clickable links to original documents
  • ✅ 93% resolution rate – Handles queries autonomously, reducing human workload
  • ✅ 92 languages – Native multilingual support without per-language config
  • ✅ Lead capture – Built-in email collection, custom forms, real-time notifications
  • ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
  • ✅ Unlimited Customization – Persona, tone, fully branded UI through bespoke development
  • Brand Voice Matching – Voice, greetings, fonts, colors, layouts tailored collaboratively Learn more
  • No Pre-Made UI – Branding lives in your custom front-end
  • White-Label by Default – ✅ API-only means no Supavec branding
  • Full Control – Add domain checks and auth in your code
  • Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
  • 2-minute setup – No-code wizard with drag-and-drop interface
  • Persona customization – Control AI personality, tone, response style via pre-prompts
  • Visual theme editor – Real-time preview of branding changes
  • Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
  • ✅ Model-Agnostic – GPT-4, Claude, LLaMA, Gemini, Cohere, open-source alternatives supported
  • Domain Fine-Tuning – Custom model tuning on business data for performance boost Learn more
  • Model-Agnostic – Defaults to GPT-3.5, switch to GPT-4 or self-hosted
  • Simple Config – Change model via config or prompt path
  • No Prompt Magic – ⚠️ Plain RAG without anti-hallucination layer
  • Quality Dependency – ⚠️ Rests on your LLM choice and prompting
  • GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
  • GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
  • Claude 4.5 – Anthropic's Opus available for Enterprise
  • Auto model routing – Balances cost/performance automatically
  • Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
  • ⚠️ Custom APIs Only – Tailor-made microservices, no off-the-shelf SDKs or self-service
  • LangChain/Haystack – Internal frameworks with docs and code reviews on delivery See process
  • Straightforward REST – File uploads, text uploads, search endpoints
  • No Official SDKs – ⚠️ Use fetch/axios or build wrapper
  • Concise Docs – JS snippets with Postman collection included
  • Open Source on GitHub – ✅ Community contributions welcome
  • REST API – Full-featured for agents, projects, data ingestion, chat queries
  • Python SDK – Open-source customgpt-client with full API coverage
  • Postman collections – Pre-built requests for rapid prototyping
  • Webhooks – Real-time event notifications for conversations and leads
  • OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
  • ✅ High Accuracy – Fine-tuned retrieval, advanced reranking for relevant context only
  • Scalable Infrastructure – Efficient vector search, low latency on complex queries Benchmarks
  • Standard GPT RAG – Accuracy equals GPT quality plus RAG lift
  • Fast Vector Search – Postgres pgvector keeps retrieval snappy
  • No Benchmarks – ⚠️ Expect typical GPT-3.5/4 RAG performance
  • Manual Citations – ⚠️ Prompt-engineer your own validation
  • Sub-second responses – Optimized RAG with vector search and multi-layer caching
  • Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
  • Anti-hallucination tech – Responses grounded only in your provided content
  • OpenGraph citations – Rich visual cards with titles, descriptions, images
  • 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
  • ✅ Complete Control – Multiple datastores, role-based access, custom system prompt tuning
  • Continuous Refinement – Add training data, tune prompts, custom logic integration Learn more
  • Instant Re-Embedding – ✅ Upload/overwrite docs with near-instant reindex
  • Prompt-Based Behavior – ⚠️ No GUI for personas or rules
  • Multi-Lingual Support – Tell LLM in your prompt for language
  • Metadata & Chunking – Add custom metadata and build logic around it
  • Live content updates – Add/remove content with automatic re-indexing
  • System prompts – Shape agent behavior and voice through instructions
  • Multi-agent support – Different bots for different teams
  • Smart defaults – No ML expertise required for custom behavior
Pricing & Scalability
  • ⚠️ Project-Based Pricing – $10K+ minimum, higher upfront than SaaS subscriptions Pricing
  • ✅ Enterprise Scale – Infrastructure scales with query volume and data growth automatically
  • MIT Open Source – ✅ Self-host free with your infrastructure costs
  • Hosted Plans – Free (100 calls/mo), $190/yr (750 calls), $1,490/yr (5K calls)
  • No Storage Metering – Only query volume counts toward limits
  • Negotiate or Self-Host – Scale beyond caps with custom limits
  • Standard: $99/mo – 60M words, 10 bots
  • Premium: $449/mo – 300M words, 100 bots
  • Auto-scaling – Managed cloud scales with demand
  • Flat rates – No per-query charges
Security & Privacy
  • ✅ Data Sovereignty – On-prem or VPC deployments for complete data control
  • Enterprise Compliance – HIPAA, FINRA, GDPR with encryption and granular access Security
  • Self-Hosting Privacy – ✅ Everything on your servers for compliance
  • Supabase RLS – Row-level security fences team data when hosted
  • No Model Training – ✅ Your docs never used for LLM training
  • GDPR/HIPAA Ready – Self-host for compliance on your infrastructure
  • SOC 2 Type II + GDPR – Third-party audited compliance
  • Encryption – 256-bit AES at rest, SSL/TLS in transit
  • Access controls – RBAC, 2FA, SSO, domain allowlisting
  • Data isolation – Never trains on your data
Observability & Monitoring
  • Comprehensive Logging – Query performance, retrieval success, response times tracked out-of-box
  • Stack Integration – Splunk, CloudWatch integration for real-time alerts and analytics Learn more
  • No Built-In Dashboard – ⚠️ Log requests yourself or use Supabase metrics
  • Basic Call Counts – Hosted plan shows simple usage stats
  • External Logging – Wire up your own monitoring tools
  • Real-time dashboard – Query volumes, token usage, response times
  • Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
  • Conversation analytics – Full transcripts, resolution rates, common questions
  • Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
  • ✅ White-Glove Support – Dedicated manager, direct dev team access during and post-deployment Details
  • Technology Partnerships – Snowflake partnership, deep expertise across multiple AI platforms
  • Community Help – GitHub/Discord for free tier and self-hosted
  • Email Support – Paid plans get email support with priority levels
  • Lean Docs – ⚠️ Endpoint references, not extensive tutorials
  • Open-Source PRs – ✅ Forks and contributions welcome
  • Comprehensive docs – Tutorials, cookbooks, API references
  • Email + in-app support – Under 24hr response time
  • Premium support – Dedicated account managers for Premium/Enterprise
  • Open-source SDK – Python SDK, Postman, GitHub examples
  • 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Core Agent Features
  • Custom RAG – Context-rich answers via relevancy search and prompt engineering Approach
  • Multi-Agent Systems – Orchestration and multi-step reasoning for complex workflows
  • Voice & Text – Voice agents, text chatbots, hybrid solutions per channel
  • CRM Integration – Salesforce, HubSpot, Dynamics integration for lead capture and management
  • Human Handoff – Context transfer when AI confidence drops or queries complex
  • ✅ Bespoke Development – No off-the-shelf limits on functionality or integration capabilities
  • Stateless RAG – Pure retrieval + generation without conversation state
  • Postgres Vector Search – ✅ Fast pgvector with cosine similarity
  • Metadata Filtering – Custom tagging for organized knowledge
  • Supabase Integration – Built on PostgreSQL with RLS security
  • No Chat UI – ⚠️ API-only, build your own interface
  • No Advanced RAG – ⚠️ Missing hybrid search, knowledge graphs, reranking
  • Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
  • Multi-Agent Systems – Specialized agents for support, sales, knowledge
  • Memory & Context – Persistent conversation history across sessions
  • Tool Integration – Webhooks + 5,000 Zapier apps for automation
  • Continuous Learning – Auto re-indexing without manual retraining
R A G-as-a- Service Assessment
  • ⚠️ Custom Agency NOT SaaS – Bespoke RAG solutions, not self-service platform
  • Target Audience – Enterprises with $10K+ budgets, complex needs, not rapid prototyping
  • ✅ Complete Pipeline – Chunking, embeddings, vector DBs, retrieval, reranking customized
  • Agentic RAG – Multi-agent reasoning, self-validation, real-time orchestration Approach
  • ✅ Code Ownership – Clients own code and infrastructure for complete control
  • ⚠️ Timeline – Weeks to months delivery, not instant API access
  • TRUE RAG-AS-A-SERVICE API – Lightweight MIT open-source backend
  • Carbon.ai Alternative – Created as transparent open-source response
  • Target Market – Developers on budget, self-hosting for data sovereignty
  • Standard RAG – Document chunking, embeddings, pgvector search
  • API-First Design – ✅ Pure REST without GUI or widgets
  • Affordable Pricing – ✅ 40-90% cheaper than commercial platforms
  • Developer Platform – ⚠️ Not for non-technical teams
  • Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
  • API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
  • No-code option – 2-minute wizard deployment for non-developers
  • Hybrid positioning – Serves both dev teams (APIs) and business users (no-code)
  • Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Additional Considerations
  • ✅ Best For – Mission-critical AI, legacy system integration, complex multi-step workflows
  • ✅ Code Ownership – Ultimate flexibility to maintain or extend post-delivery Approach
  • ⚠️ Investment – Higher upfront cost, longer rollout than SaaS tools
N/A
  • Time-to-value – 2-minute deployment vs weeks with DIY
  • Always current – Auto-updates to latest GPT models
  • Proven scale – 6,000+ organizations, millions of queries
  • Multi-LLM – OpenAI + Claude reduces vendor lock-in
No- Code Interface & Usability
  • ⚠️ No Pre-Built UI – Admin/user interfaces built as part of custom solution
  • Developer Required – Non-developers need developer help for changes despite polished UI
N/A
  • 2-minute deployment – Fastest time-to-value in the industry
  • Wizard interface – Step-by-step with visual previews
  • Drag-and-drop – Upload files, paste URLs, connect cloud storage
  • In-browser testing – Test before deploying to production
  • Zero learning curve – Productive on day one
Competitive Positioning
  • Market Position – Premium custom AI agency for mission-critical enterprise RAG solutions
  • Target Customers – Large enterprises, regulated industries (HIPAA, FINRA) with legacy integration needs
  • Key Competitors – Deviniti, Contextual.ai, Azure AI, OpenAI enterprise, internal dev teams
  • ✅ Advantages – Model-agnostic, white-glove support, code ownership, on-prem/VPC deployment, Snowflake partnerships
  • Pricing Value – Higher upfront, no recurring costs; best for complex unique requirements
  • Ideal Use Cases – Legacy integration, specialized workflows, fine-tuning, compliance needing on-prem control
  • Market Position – MIT open-source RAG API on Supabase
  • Target Customers – Developers building custom RAG, budget-conscious startups
  • Key Competitors – Carbon.ai, LangChain, SimplyRetrieve, hosted RAG APIs
  • Advantages – ✅ MIT license, Supabase foundation, model-agnostic, privacy-focused
  • Best For – Lightweight RAG backend, self-hosting, avoiding platform costs
  • Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.
  • Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing
  • vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
  • vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
  • vs LangChain – Production-ready in 2 min vs weeks of development
A I Models
  • ✅ Model-Agnostic – GPT-4, Claude 3.5, Gemini, LLaMA 3.3, Qwen, Cohere, open-source
  • ⚠️ Selection Process – Azumo team determines during discovery, not self-service configuration
  • Fine-Tuning – Domain-specific tuning on curated datasets reflecting real business environments
  • Provider Relationships – OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, Mistral partnerships
  • GPT-3.5 Default – Cost-effective with GPT-4/4-turbo support
  • Self-Hosted Models – ✅ Llama, Mistral via API endpoints
  • No Model Lock-In – ✅ Switch by changing config
  • Direct API Keys – ✅ Connect your own OpenAI without markup
  • OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
  • Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
  • Auto-routing – Intelligent model selection for cost/performance
  • Managed – No API keys or fine-tuning required
R A G Capabilities
  • Vector Databases – Pinecone, Weaviate, Qdrant integration for domain-specific data handling
  • Semantic Chunking – Breaks docs by topic/intent, sizes vary by content type
  • Advanced Retrieval – Relevancy search with reranking for high accuracy context
  • 128K Context Window – Large document processing and complex queries supported
  • ✅ Complete Pipeline – Chunking, embedding, vector search, reranking, answer generation with citations
  • Standard RAG – Document chunking with Postgres pgvector search
  • OpenAI Embeddings – Automatic embedding generation on upload
  • Fast Re-Indexing – ✅ Almost instant document updates
  • No Advanced Features – ⚠️ No hybrid search, reranking, or multi-query
  • No Hallucination Detection – ⚠️ Implement citations manually
  • GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
  • Anti-hallucination – Responses grounded in your content only
  • Automatic citations – Clickable source links in every response
  • Sub-second latency – Optimized vector search and caching
  • Scale to 300M words – No performance degradation at scale
Use Cases
  • Primary Industries – E-commerce, healthcare, finance, manufacturing/logistics with complex AI needs
  • Enterprise Apps – Custom ETL, wiki integration, SharePoint connectors, multi-agent systems
  • Team Sizes – Large enterprises, 1-15 Azumo members working alongside client teams
  • Common Projects – Legacy modernization, Azure migrations, health screening, CRM integration with AI
  • ⚠️ Timeline – 12-18 month pilots typical before company-wide rollout, slower than SaaS
  • Custom Chatbot Backends – Developers building own chat interfaces
  • Self-Hosted Retrieval – ✅ Data sovereignty with Supabase infrastructure
  • Budget RAG Apps – Startups minimizing costs with MIT license
  • Supabase Projects – Teams already using Supabase stack
  • Not Ideal For – ⚠️ Non-technical teams or advanced RAG needs
  • Customer support – 24/7 AI handling common queries with citations
  • Internal knowledge – HR policies, onboarding, technical docs
  • Sales enablement – Product info, lead qualification, education
  • Documentation – Help centers, FAQs with auto-crawling
  • E-commerce – Product recommendations, order assistance
Security & Compliance
  • ✅ Certifications – HIPAA with BAA, FINRA, GDPR compliance for regulated industries
  • ✅ Deployment Options – On-premise or VPC for data sovereignty, cloud-agnostic architecture
  • Encryption – Enterprise-grade at rest/transit, granular access controls, role-based permissions
  • Custom Retention – Data retention policies tailored to industry compliance mandates
  • Monitoring – Logging tied to Splunk, CloudWatch for real-time alerts and analytics
  • Vulnerability Management – Continuous security scanning and threat detection for production systems
  • Self-Hosting Advantage – ✅ Complete data sovereignty on your servers
  • Supabase RLS – Row-level security for multi-tenant isolation
  • GDPR/HIPAA Ready – Self-host for compliance requirements
  • No SOC 2 – ⚠️ Open-source lacks formal certifications
  • DIY Access Controls – ⚠️ Implement auth and RBAC yourself
  • SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
  • 256-bit AES encryption – Data at rest; SSL/TLS in transit
  • SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
  • Data isolation – Never trains on customer data
  • Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
  • ⚠️ Project-Based – $10K+ minimum, $4,200-$70K+ range, higher upfront than SaaS
  • Hourly Rate – Average $25-49/hour, costs scale by scope and complexity
  • Billing Flexibility – Week-by-week exploratory pricing, custom enterprise agreements (average 3.2+ years)
  • Team Size – 1-15 members ensuring quality service and timely delivery
  • ✅ Value – Full code ownership, no recurring costs, long-term investment payoff
  • Free Self-Hosting – ✅ MIT license with only infrastructure costs
  • Hosted Free – 100 API calls/month for testing
  • Basic $190/year – 750 calls/mo with email support
  • Enterprise $1,490/year – 5K calls/mo with priority support
  • 40-90% Cheaper – ✅ vs commercial RAG platforms
  • Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
  • Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
  • Enterprise: Custom – SSO, dedicated support, custom SLAs
  • 7-day free trial – Full Standard access, no charges
  • Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
  • ✅ White-Glove – Dedicated manager, direct dev team access during and post-deployment
  • Project Management – Weekly meetings, backlog system, continuous engagement beyond original scope
  • Custom Docs – Endpoint design, architecture diagrams, implementation guides delivered with code
  • Training – In-person knowledge transfer sessions with client teams, clear docs
  • ⚠️ No SLAs – Direct communication, high responsiveness reported but no formal SLAs
  • ⚠️ No Community – Professional services model only, no public forums
  • Lean API Docs – ⚠️ Technical reference, not tutorial-heavy
  • Community Support – GitHub Discussions and Discord
  • Email for Paid – Basic/Enterprise get email support
  • Postman Collection – ✅ Quick testing and integration
  • Documentation hub – Docs, tutorials, API references
  • Support channels – Email, in-app chat, dedicated managers (Premium+)
  • Open-source – Python SDK, Postman, GitHub examples
  • Community – User community + 5,000 Zapier integrations
Limitations & Considerations
  • ⚠️ High Initial Cost – $10K+ minimum, not suitable for small businesses
  • ⚠️ Long Timeline – 12-18 month pilots, weeks to months vs. hours for SaaS
  • ⚠️ Requires Dev Teams – Need internal developers to maintain and extend post-delivery
  • ⚠️ Services-Driven – Azumo determines config, not self-service dashboard controls
  • Learning Curve – Significant onboarding and training needed for client teams
  • Not Ideal For – Simple use cases, rapid deployment needs, budget-constrained startups
  • No GUI/Dashboard – ⚠️ Everything via API, no business-user interface
  • Developer-Only – ⚠️ Requires coding for setup and integration
  • Basic RAG Only – ⚠️ No hybrid search, reranking, or query expansion
  • No Observability – ⚠️ Must build your own logging layer
  • Manual Connectors – ⚠️ Script your own Google Drive/Notion fetches
  • Stateless API – ⚠️ No chat history or session management
  • Managed service – Less control over RAG pipeline vs build-your-own
  • Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
  • Real-time data – Requires re-indexing; not ideal for live inventory/prices
  • Enterprise features – Custom SSO only on Enterprise plan

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Final Thoughts

Final Verdict: Azumo vs Supavec

After analyzing features, pricing, performance, and user feedback, both Azumo and Supavec are capable platforms that serve different market segments and use cases effectively.

When to Choose Azumo

  • You value highly skilled nearshore developers in same timezone
  • Extensive AI/ML expertise since 2016
  • Flexible engagement models (staff aug or project-based)

Best For: Highly skilled nearshore developers in same timezone

When to Choose Supavec

  • You value 100% open source with no vendor lock-in
  • Complete control over data and infrastructure
  • Strong privacy with Supabase RLS integration

Best For: 100% open source with no vendor lock-in

Migration & Switching Considerations

Switching between Azumo and Supavec requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

Azumo starts at $100000/month, while Supavec begins at custom pricing. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

  1. Start with a free trial - Both platforms offer trial periods to test with your actual data
  2. Define success metrics - Response accuracy, latency, user satisfaction, cost per query
  3. Test with real use cases - Don't rely on generic demos; use your production data
  4. Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
  5. Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Azumo and Supavec comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

  • • Review: Check the detailed feature comparison table above
  • • Test: Sign up for free trials and test with real queries
  • • Calculate: Estimate your monthly costs based on expected usage
  • • Decide: Choose the platform that best aligns with your requirements

Last updated: January 1, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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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.

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