SearchUnify 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 SearchUnify 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 SearchUnify 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 SearchUnify if: you value g2 leader for 21 consecutive quarters (5+ years) in enterprise search - exceptional market validation vs newer rag startups
  • Choose Supavec if: you value 100% open source with no vendor lock-in

About SearchUnify

SearchUnify Landing Page Screenshot

SearchUnify is ai-powered unified enterprise search and knowledge management. Enterprise cognitive search platform with proprietary Federated RAG (FRAG™) architecture, 100+ pre-built connectors, and mature Salesforce integration. G2 Leader for 21 consecutive quarters (5+ years). Parent company Grazitti Interactive (founded 2008) maintains SOC 2 Type 2 + ISO 27001 + HIPAA compliance. BYOLLM flexibility supports OpenAI, Azure, Google Gemini, Hugging Face, custom models. Critical gaps: NO WhatsApp/Telegram messaging, NO public pricing (AWS Marketplace: $0.01-$0.025/request), NO Zapier integration. Enterprise search heritage vs RAG-first positioning. Founded in 2008 (Grazitti), SearchUnify product launched ~2012, headquartered in Panchkula, India / San Jose, CA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
84/100
Starting Price
Custom

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, both platforms score similarly in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: Enterprise Search 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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SearchUnify
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Supavec
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Data Ingestion & Knowledge Sources
  • 35+ content parsers – PDF, DOC, DOCX, PPT, CSV, TXT, XSL with 12MB size limit per document
  • 100+ pre-built connectors – Salesforce, ServiceNow, Zendesk, SharePoint, Confluence, Google Drive
  • YouTube indexing – Channel/playlist/video-level with timestamped transcript search
  • Auto-sync – 15-minute to manual intervals, webhook-based real-time for Box, Docebo
  • ⚠️ No Notion integration – Notable gap vs competitors supporting Notion knowledge bases
  • ⚠️ 12MB document limit – May constrain large PDF processing
  • 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
  • Native search clients – Salesforce Service Console, ServiceNow, Zendesk, Khoros, Slack
  • Salesforce Summit Partner – Highest tier with AppExchange, native UX integration
  • RESTful API – OAuth 2.0, Swagger docs, three official SDKs (JS, Python, Java)
  • ⚠️ No consumer messaging – NO WhatsApp, Telegram, Facebook Messenger
  • ⚠️ No Zapier – Significant gap for no-code automation vs 7,000+ app competitors
  • 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
F R A G™ Architecture ( Core Differentiator)
  • Federated RAG – 3-layer framework for hallucination mitigation in enterprise retrieval
  • Federation Layer – 360-degree context across 100+ connected sources simultaneously
  • Retrieval Layer – Keyword matching + semantic similarity + vector search combined
  • ✅ Multi-repository context – Docs, forums, LMS, CRM, tickets unified for comprehensive answers
N/A
N/A
Core Agent Features
  • SUVA Virtual Assistant – "World's First Federated RAG Chatbot" analyzing 20+ attributes
  • 35+ languages – Native Arabic, German, French, Mandarin with extended CSV config
  • Human handoff – Escalation to Salesforce, Zendesk, Khoros with full context
  • SearchUnifyGPT™ – LLM answers with inline citations above traditional search
  • Up to 5 agents – Per instance deployable across portals
  • 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
L L M Model Options
  • BYOLLM architecture – Avoid vendor lock-in with flexible model selection
  • Claude via Bedrock – 14-day trial, OpenAI, Azure OpenAI, Google Gemini
  • Hugging Face support – Open-source models for custom deployments
  • Multiple connections – Connect providers simultaneously with failover
  • ⚠️ No auto routing – Manual configuration vs query complexity-based routing
  • 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)
  • Three official SDKs – JavaScript (su-sdk), Python (searchunify), Java (Maven)
  • MCP support – su-mcp library for Claude Desktop and LLM tooling
  • RESTful API v2 – Swagger docs, OAuth 2.0 (4-hour access, 14-day refresh tokens)
  • ⚠️ Rate limits unclear – Requires community documentation access
  • ⚠️ No API versioning policy – Potential breaking change risk
  • 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
  • 120-second analytics – Near real-time dashboard refresh
  • FRAG™ mitigation – 3-layer architecture reduces hallucinations
  • Customer results – Accela 99.7% cost savings, Cornerstone 98% self-service
  • YouTube timestamps – Transcript search returns exact audio segments
  • 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
Security & Compliance
  • SOC 1/2/3 Type II – ISO 27001, ISO 27701, HIPAA, GDPR compliant
  • Single-tenant – Customer data isolation, no cross-tenant leakage
  • AES-256 + TLS 1.3 – Encryption at rest and in transit
  • SSO integration – SAML 2.0 with Okta, Azure AD, OneLogin, Google
  • FRAG security – Sensitive data removal before LLM transmission
  • 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
  • ⚠️ No public pricing – Requires enterprise sales engagement
  • AWS Marketplace – 100K searches: $0.025/req, 200K: $0.015, 300K: $0.01
  • Unlimited connectors – Flat subscription, no per-connector fees
  • 7-14 day deployment – Using pre-built connectors
  • ⚠️ Annual escalation – Reviews note "guaranteed price increase every year"
  • 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
Observability & Monitoring
  • 30+ pre-built metrics – Search performance, conversion tracking, content gaps
  • Actionable Insights – AI-generated plain-English recommendations
  • SUVA metrics – Deflection rate, handover, CSAT, LLM token usage
  • Admin activity logs – 30-day retention with CSV export
  • 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
Customization & Branding
  • Theme editor – Colors, fonts, icons, messaging without code
  • NLP Manager – Synonyms, acronyms, keywords per language
  • Visual search tuning – Boost/downgrade rankings via admin UI
  • Temperature controls – Per-persona, use case, audience type
  • 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
Support & Ecosystem
  • SearchUnify Academy – Free training with certifications
  • 97-98% G2 satisfaction – "Ease of Doing Business With" rating
  • G2 Leader – 21 consecutive quarters in Enterprise Search
  • Enterprise support – Phone, email, chat with dedicated account managers
  • 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
R A G-as-a- Service Assessment
  • Platform type – ENTERPRISE COGNITIVE SEARCH with RAG, not pure RaaS
  • 5+ years leadership – G2 Leader 21 quarters with RAG as enhancement
  • FRAG™ differentiator – Proprietary federated architecture for enterprise
  • Target users – Large enterprises with 100+ fragmented knowledge sources
  • ⚠️ Not for developers – Not lightweight API-first RAG for SMBs
  • 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
Competitive Positioning
  • G2 + IDC + Forrester – Leader 21 quarters, MarketScape Major Player
  • 100+ connectors – Reduced integration effort vs custom connector platforms
  • Salesforce Summit – Native UX integration vs API-only competitors
  • ⚠️ Cloud-only – No on-premise/air-gapped deployment
  • ⚠️ No consumer messaging – Enterprise support channels only
  • 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
  • BYOLLM – Claude (Bedrock), OpenAI, Azure, Gemini, Hugging Face
  • Multiple connections – Simultaneous providers with activation toggles
  • Temperature controls – Per-persona creativity adjustment
  • Failover mechanisms – Automatic when primary LLMs unavailable
  • 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
  • FRAG™ 3-layer – Federation + Retrieval + Augmented Generation
  • Hybrid search – Full-text + vector + ML re-ranking combined
  • Multi-repository – Docs, forums, LMS, CRM unified retrieval
  • Hallucination mitigation – Sensitive data removal before LLM transmission
  • 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
  • Enterprise support – SUVA deflects tickets with federated knowledge
  • Salesforce enhancement – Native Service Console and Communities integration
  • Multi-system unification – 100+ sources consolidated (CRM, LMS, SharePoint)
  • Training/LMS search – YouTube transcripts + Docebo + documentation unified
  • 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
No- Code Interface & Usability
  • 97-98% G2 usability – Consistently high "Ease of Use" ratings
  • Visual configuration – OAuth flows, content sources via admin UI
  • Drag-and-drop – Salesforce Console search client components
  • SUVA Agent Builder – Visual config for up to 5 agents per instance
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
Additional Considerations
  • ✅ 100+ connectors – Reduced integration effort, 7-14 day deployment
  • ✅ FRAG™ architecture – Enterprise hallucination mitigation
  • ✅ Salesforce Summit – Deepest native integration available
  • ⚠️ Cloud-only – No on-premise/air-gapped option
  • ⚠️ No public pricing – Requires sales engagement
  • ⚠️ No consumer messaging – WhatsApp, Telegram, Zapier absent
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
Limitations & Considerations
  • ⚠️ No public pricing – Requires sales engagement, annual escalation clauses
  • ⚠️ No consumer messaging – NO WhatsApp, Telegram, Messenger native
  • ⚠️ No Zapier – Major gap for no-code automation workflows
  • ⚠️ Cloud-only – No on-premise/air-gapped for regulated industries
  • ⚠️ 12MB document limit – May constrain large PDF processing
  • Best for – Salesforce-centric enterprises; not API-first developers
  • 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
Core Chatbot Features
N/A
  • 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 & Flexibility ( Behavior & Knowledge)
N/A
  • 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
N/A
  • 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
N/A
  • 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
Support & Documentation
N/A
  • 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

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Final Thoughts

Final Verdict: SearchUnify vs Supavec

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

When to Choose SearchUnify

  • You value g2 leader for 21 consecutive quarters (5+ years) in enterprise search - exceptional market validation vs newer rag startups
  • Proprietary FRAG™ architecture specifically designed for hallucination mitigation with 3-layer federation, retrieval, augmented generation
  • 100+ pre-built connectors dramatically reduce integration effort - Google Drive, Salesforce, ServiceNow, Zendesk, Slack, MS Teams, YouTube, Adobe AEM

Best For: G2 Leader for 21 consecutive quarters (5+ years) in Enterprise Search - exceptional market validation vs newer RAG startups

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 SearchUnify 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

SearchUnify starts at custom pricing, 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 SearchUnify 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: February 24, 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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