Data Ingestion & Knowledge Sources
✅ Supported Formats – 100+ document types including PDFs, websites, text files✅ Scale Proven – Kravet: 125,000 pages + 1,000+ files processed✅ NoForm.ai Speed – Learns from single URL almost immediately⚠️ Manual Updates – No auto-sync, cloud integrations, or API uploads
Handles 40 + formats—from PDFs and spreadsheets to audio—at massive scale
Reference .
Async ingest auto-scales, crunching millions of tokens per second—perfect for giant corpora
Benchmark details .
Ingest via code or API, so you can tap proprietary databases or custom pipelines with ease.
1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archivesWebsite crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public contentMultimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-inCloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-syncKnowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectorsMassive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
✅ Messaging Platforms – WhatsApp, Facebook, Instagram, Telegram, SMS (Plivo)✅ CRM & Enterprise – Salesforce, HubSpot, Zendesk, SAP, Shopify, PayPal✅ Unified Inbox – Manages all channels from single interface⚠️ No Zapier – Custom development required vs pre-built connectors
Ships a REST RAG API—plug it into websites, mobile apps, internal tools, or even legacy systems.
No off-the-shelf chat widget; you wire up your own front end
API snippet .
Website embedding – Lightweight JS widget or iframe with customizable positioningCMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce toolsMCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, WindsurfOpenAI SDK compatible – Drop-in replacement for OpenAI API endpointsLiveChat + Slack – Native chat widgets with human handoff capabilities
✅ Multi-Lingual – 100+ languages (EN, FR, DE, NL, PL, TR, AR)✅ Dialog Management – Complex decision trees with intent recognition✅ Analytics – Goal tracking, satisfaction scores, revenue attribution✅ Human Handoff – Smooth transfer with full transcript via Freshchat✅ Scale Proven – FIBA: 72,000 chats, Honda: 15,000 voice calls
Core RAG engine serves retrieval-grounded answers; hook it to your UI for multi-turn chat.
Multi-lingual if the LLM you pick supports it.
Lead-capture or human handoff flows are yours to build through the API.
✅ #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
✅ Complete White-Label – Zero BotsCrew mentions on platforms✅ Zero-Commission Reselling – Partners set pricing without revenue share✅ Two Tiers – Full customization OR cheaper 'no-brand' option✅ Widget Customization – Colors, messages, video, multilingual interface✅ Marketing Support – Demos, prototypes, case studies for partners
Fully bespoke—design any UI you want and skin it to match your brand.
SciPhi focuses on the back end, so front-end look-and-feel is entirely up to you.
Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost2-minute setup – No-code wizard with drag-and-drop interfacePersona customization – Control AI personality, tone, response style via pre-promptsVisual theme editor – Real-time preview of branding changesDomain allowlisting – Restrict embedding to approved sites only
✅ OpenAI & Anthropic – GPT-4, GPT-4o, GPT-4.5, Claude 3 Opus✅ Open Source – Llama 3 support for cost optimization✅ Hybrid NLU – DialogFlow SDK for traditional NLU + LLM✅ Vector Database – Pinecone for enterprise RAG deployments⚠️ Not Self-Service – Model selection via development team only
LLM-agnostic—GPT-4, Claude, Llama 2, you choose.
Pick, fine-tune, or swap models anytime to balance cost and performance
Model options .
GPT-5.1 models – Latest thinking models (Optimal & Smart variants)GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o availableClaude 4.5 – Anthropic's Opus available for EnterpriseAuto model routing – Balances cost/performance automaticallyZero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
⚠️ NOT a RAG API – No public API for RAG capabilities⚠️ Utility API Only – Limited to datetime, math, email operations⚠️ Outdated SDK – Java only, last updated Feb 2020 (4+ years)⚠️ Services-Driven – Professional services required vs self-service
REST API plus a Python client (R2RClient) handle ingest and query tasks
Docs and GitHub repos offer deep dives and open-source starter code
SciPhi GitHub .
REST API – Full-featured for agents, projects, data ingestion, chat queriesPython SDK – Open-source customgpt-client with full API coveragePostman collections – Pre-built requests for rapid prototypingWebhooks – Real-time event notifications for conversations and leadsOpenAI compatible – Use existing OpenAI SDK code with minimal changes
✅ Proven Improvement – Kravet: 60% → 90% accuracy via optimization✅ Advanced Techniques – 128k context, retrieval tuning, temperature adjustment✅ Hallucination Control – Faithfulness 85-95%, Relevance 90-95%, Rate <5-15%✅ Quality Methods – Human-in-loop, LLM-as-judge, confidence testing⚠️ Professional Only – Team-driven tuning vs self-service parameters
Hybrid search (dense + keyword) keeps retrieval fast and sharp.
Knowledge-graph boosts (HybridRAG) drive up to 150 % better accuracy
Sub-second latency—even at enterprise scale.
Sub-second responses – Optimized RAG with vector search and multi-layer cachingBenchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants APIAnti-hallucination tech – Responses grounded only in your provided contentOpenGraph citations – Rich visual cards with titles, descriptions, images99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
✅ NoForm.ai Speed – Learns from website URL almost immediately✅ Dynamic Personalization – AI responses based on user profiles/behaviors✅ Tone Customization – 20,000-character prompts for brand voice✅ Multi-Turn Dialogue – Context-aware with decision trees⚠️ Manual Updates – No API or real-time cloud sync
Add new sources, tweak retrieval, mix collections—everything’s programmable.
Chain API calls, re-rank docs, or build full agentic flows
Live content updates – Add/remove content with automatic re-indexingSystem prompts – Shape agent behavior and voice through instructionsMulti-agent support – Different bots for different teamsSmart defaults – No ML expertise required for custom behavior
Platform – Starting $600/month (premium positioning)Setup – $3,000+ one-time implementation feesDevelopment – $50-99/hour for custom work⚠️ Minimum – $10,000+ investment blocks small businesses/startups⚠️ No Free Tier – Only trials/demos available
Free tier plus a $25/mo Dev tier for experiments.
Enterprise plans with custom pricing and self-hosting for heavy traffic
Pricing .
Standard: $99/mo – 60M words, 10 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat rates – No per-query charges
✅ Enterprise Compliance – HIPAA, GDPR, SOC 2, ISO 27001 certified✅ End-to-End Encryption – Data encrypted at rest and transit✅ On-Premise Option – Complete data control for strict requirements
Customer data stays isolated in SciPhi Cloud; self-host for full control.
Standard encryption in transit and at rest; tune self-hosted setups to meet any regulation.
SOC 2 Type II + GDPR – Third-party audited complianceEncryption – 256-bit AES at rest, SSL/TLS in transitAccess controls – RBAC, 2FA, SSO, domain allowlistingData isolation – Never trains on your data
Observability & Monitoring
✅ Real-Time Dashboard – Live conversation and engagement monitoring✅ Goal Tracking – Completion rates, fallback rates, accuracy (80%+ target)✅ Revenue Attribution – ROI calculations tied to interactions✅ Unified Inbox – Full conversation logging and history⚠️ No API Export – Dashboard only, no programmatic access
Dev dashboard shows real-time logs, latency, and retrieval quality
Dashboard .
Hook into Prometheus, Grafana, or other tools for deep monitoring.
Real-time dashboard – Query volumes, token usage, response timesCustomer Intelligence – User behavior patterns, popular queries, knowledge gapsConversation analytics – Full transcripts, resolution rates, common questionsExport capabilities – API export to BI tools and data warehouses
✅ High-Touch Support – Phone/email with dedicated project management✅ Training Resources – Documentation, webinars, in-person sessions✅ Blog & Newsletter – Extensive technical content, 1,000+ readers✅ Awards – Top AI Chatbot Dev 2024 (Clutch)⚠️ No Community Forum – Professional services model only
Community help via Discord and GitHub; Enterprise customers get dedicated support
Open-source core encourages community contributions and integrations.
Comprehensive docs – Tutorials, cookbooks, API referencesEmail + in-app support – Under 24hr response timePremium support – Dedicated account managers for Premium/EnterpriseOpen-source SDK – Python SDK, Postman, GitHub examples5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
No- Code Interface & Usability
✅ NoForm.ai – Setup in under 5 minutes with URL learning✅ Easy Embedding – Copy-paste code (WordPress, Wix, Webflow)✅ 20,000-Char Prompts – Extensive behavior customization✅ AI Copilot – Guides non-technical users through setup⚠️ Reality Check – Full implementations take 2+ weeks, not hours
No no-code UI—built for devs to wire into their own front ends.
Dashboard is utilitarian: good for testing and monitoring, not for everyday business users.
2-minute deployment – Fastest time-to-value in the industryWizard interface – Step-by-step with visual previewsDrag-and-drop – Upload files, paste URLs, connect cloud storageIn-browser testing – Test before deploying to productionZero learning curve – Productive on day one
✅ Complete Brand Removal – Zero BotsCrew mentions on platforms✅ Zero-Commission Reselling – Partners set pricing without revenue share✅ Custom Dashboards – Dedicated client interfaces under reseller branding✅ Two Tiers – Full customization OR cheaper 'no-brand' option
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R A G-as-a- Service Assessment
⚠️ NOT RAG-as-a-Service – Custom development services, not SaaS⚠️ No RAG API – Cannot create agents programmatically⚠️ 2+ Weeks Min – Not minutes like self-service platforms
Platform Type – HYBRID RAG-AS-A-SERVICE combining open-source R2R with managed SciPhi CloudCore Mission – Bridge experimental RAG models to production-ready systems with deployment flexibilityDeveloper Target – Built for OSS community, startups, enterprises emphasizing developer flexibility and controlRAG Leadership – HybridRAG (150% accuracy), millions tokens/second, 40+ formats, sub-second latency✅ Open-source R2R core on GitHub enables customization, portability, avoids vendor lock-in
⚠️ NO no-code features – No chat widgets, visual builders, pre-built integrations or dashboards
Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructureAPI-first – REST API, Python SDK, OpenAI compatibility, MCP ServerNo-code option – 2-minute wizard deployment for non-developersHybrid positioning – Serves both dev teams (APIs) and business users (no-code)Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
✅ Primary Strength – Fortune 500-proven enterprise chatbot development✅ White-Label Leadership – Zero-commission, complete brand removal✅ Enterprise Credentials – HIPAA, GDPR, SOC 2, ISO 27001⚠️ NOT RAG-as-a-Service – Cannot compare to developer-first RAG APIs
Market position – Developer-first RAG infrastructure combining open-source flexibility with managed cloud serviceTarget customers – Dev teams needing high-performance RAG, enterprises requiring millions tokens/second ingestionKey competitors – LangChain/LangSmith, Deepset/Haystack, Pinecone Assistant, custom RAG implementationsCompetitive advantages – HybridRAG (150% accuracy boost), async auto-scaling, 40+ formats, sub-second latencyPricing advantage – Free tier + $25/mo Dev plan; open-source foundation enables cost optimizationUse case fit – Massive document volumes, advanced RAG needs, self-hosting control requirements
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 pricingvs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% fastervs Botsonic/Chatbase – More file formats, source citations, no hidden costsvs LangChain – Production-ready in 2 min vs weeks of development
OpenAI & Anthropic – GPT-4, GPT-4o, Claude 3 OpusOpen Source – Llama 3 for cost optimizationVector Database – Pinecone for enterprise RAG⚠️ Not Self-Service – Model selection via development team only
LLM-Agnostic Architecture – GPT-4, GPT-3.5, Claude, Llama 2, and other open-source modelsModel Flexibility – Easy swapping to balance cost/performance without vendor lock-inCustom Support – Configure any LLM via API including fine-tuned or proprietary modelsEmbedding Providers – Multiple embedding options for semantic search and vector generation✅ Full control over temperature, max tokens, and generation parameters
OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 seriesAnthropic – Claude 4.5 Opus/Sonnet (Enterprise)Auto-routing – Intelligent model selection for cost/performanceManaged – No API keys or fine-tuning required
✅ Proven Accuracy – Kravet: 60% → 90% improvement✅ Hallucination Control – Faithfulness 85-95%, Relevance 90-95%✅ Scale Proven – 125,000 pages, 1,000+ employees⚠️ Professional Only – Team-driven tuning vs self-service
HybridRAG Technology – Vector search + knowledge graphs for 150% accuracy improvementHybrid Search – Dense vector + keyword with reciprocal rank fusionAgentic RAG – Reasoning agent for autonomous research across documents and webMultimodal Ingestion – 40+ formats (PDFs, spreadsheets, audio) at massive scale✅ Millions of tokens/second async auto-scaling ingestion throughput
✅ Sub-second latency even at enterprise scale with optimized operations
GPT-4 + RAG – Outperforms OpenAI in independent benchmarksAnti-hallucination – Responses grounded in your content onlyAutomatic citations – Clickable source links in every responseSub-second latency – Optimized vector search and cachingScale to 300M words – No performance degradation at scale
Enterprise Knowledge – Kravet: 125,000 pages, 90% accuracyLarge Events – FIBA: 72,000 conversationsVoice Automation – Honda: 15,000 voice conversationsRegulated Industries – HIPAA, SOC 2 for healthcare/finance
Enterprise Knowledge – Process millions of documents with knowledge graph relationshipsSupport Automation – RAG-powered support bots with accurate, grounded responsesResearch & Analysis – Agentic RAG for autonomous research across collections and webCompliance & Legal – Large document repositories with precise citation trackingInternal Docs – Developer-focused RAG for code, API references, technical knowledgeCustom AI Apps – API-first architecture integrates into any application or workflow
Customer support – 24/7 AI handling common queries with citationsInternal knowledge – HR policies, onboarding, technical docsSales enablement – Product info, lead qualification, educationDocumentation – Help centers, FAQs with auto-crawlingE-commerce – Product recommendations, order assistance
Enterprise Certifications – HIPAA, GDPR, SOC 2, ISO 27001End-to-End Encryption – TLS/AES at rest and transitOn-Premise Option – Complete data control available
Data Isolation – Single-tenant architecture with isolated customer data in SciPhi CloudSelf-Hosting Option – On-premise deployment for complete data control in regulated industriesEncryption Standards – TLS in transit, AES-256 at rest encryptionAccess Controls – Document-level granular permissions with role-based access control (RBAC)✅ Open-source R2R core enables security audits and compliance validation
✅ Self-hosted deployments tunable for HIPAA, SOC 2, and other regulations
SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance256-bit AES encryption – Data at rest; SSL/TLS in transitSSO + 2FA + RBAC – Enterprise access controls with role-based permissionsData isolation – Never trains on customer dataDomain allowlisting – Restrict chatbot to approved domains
Platform – Starting $600/month (enterprise positioning)Setup – $3,000+ one-time implementation costs⚠️ Minimum – $10,000+ investment blocks small businesses⚠️ No Free Tier – Only trials/demos available
Free Tier – Generous no-credit-card tier for experimentation and developmentDeveloper Plan – $25/month for individual developers and small projectsEnterprise Plans – Custom pricing based on scale, features, and supportSelf-Hosting – Open-source R2R available free (infrastructure costs only)✅ Flat subscription pricing without per-query or per-document charges
✅ Managed cloud handles infrastructure, deployment, scaling, updates, maintenance
Standard: $99/mo – 10 chatbots, 60M words, 5K items/botPremium: $449/mo – 100 chatbots, 300M words, 20K items/botEnterprise: Custom – SSO, dedicated support, custom SLAs7-day free trial – Full Standard access, no chargesFlat-rate pricing – No per-query charges, no hidden costs
High-Touch Support – Phone/email with dedicated project managementTraining – Documentation, webinars, in-person sessions⚠️ No Community – Services model only
Comprehensive Docs – Detailed docs at r2r-docs.sciphi.ai covering all features and endpointsGitHub Repository – Active open-source development at github.com/SciPhi-AI/R2R with code examplesCommunity Support – Discord community and GitHub issues for peer supportEnterprise Support – Dedicated channels for enterprise customers with SLAs✅ Python client (R2RClient) with extensive examples and starter code
✅ Developer dashboard with real-time logs, latency, and retrieval quality metrics
Documentation hub – Docs, tutorials, API referencesSupport channels – Email, in-app chat, dedicated managers (Premium+)Open-source – Python SDK, Postman, GitHub examplesCommunity – User community + 5,000 Zapier integrations
Additional Considerations
✅ Multilingual Strength – 100+ languages, multi-platform support⚠️ Time Investment – 2+ weeks minimum, not hours✅ Best Fit – Enterprises with $10,000+ seeking managed development
Advanced extras like GraphRAG and agentic flows push beyond basic Q&A
Great fit for enterprises needing deeply customized, fully integrated AI solutions.
Time-to-value – 2-minute deployment vs weeks with DIYAlways current – Auto-updates to latest GPT modelsProven scale – 6,000+ organizations, millions of queriesMulti-LLM – OpenAI + Claude reduces vendor lock-in
Limitations & Considerations
⚠️ NOT Self-Service – Development services model, not SaaS⚠️ No RAG API – Cannot access embeddings programmatically⚠️ Outdated SDK – Java only, last updated Feb 2020⚠️ Manual Knowledge – No auto-sync or retraining
⚠️ Developer-Focused – Requires technical expertise to build and wire custom front ends
⚠️ Infrastructure Requirements – Self-hosting needs GPU infrastructure and DevOps expertise
⚠️ Integration Effort – API-first design means building your own chat UI
⚠️ Learning Curve – Advanced features like knowledge graphs require RAG concept understanding
⚠️ Community Support Limits – Open-source support relies on community unless enterprise plan
Managed service – Less control over RAG pipeline vs build-your-ownModel selection – OpenAI + Anthropic only; no Cohere, AI21, open-sourceReal-time data – Requires re-indexing; not ideal for live inventory/pricesEnterprise features – Custom SSO only on Enterprise plan
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Agentic RAG – Reasoning agent for autonomous research across documents/web with multi-step problem solvingAdvanced Toolset – Semantic search, metadata search, document retrieval, web search, web scraping capabilitiesMulti-Turn Context – Stateful dialogues maintaining conversation history via conversation_id for follow-upsCitation Transparency – Detailed responses with source citations for fact-checking and verification⚠️ No Pre-Built UI – API-first platform requires custom front-end development
⚠️ No Lead Analytics – Lead capture and dashboards must be implemented at application layer
Custom AI Agents – Autonomous GPT-4/Claude agents for business tasksMulti-Agent Systems – Specialized agents for support, sales, knowledgeMemory & Context – Persistent conversation history across sessionsTool Integration – Webhooks + 5,000 Zapier apps for automationContinuous Learning – Auto re-indexing without manual retraining
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