| Data Ingestion & Knowledge Sources |
- Supports ingestion of over 1,400 file formats (PDF, DOCX, TXT, Markdown, HTML, etc.) via drag-and-drop or API.
- Crawls websites using sitemaps and URLs to automatically index public helpdesk articles, FAQs, and documentation.
- Automatically transcribes multimedia content (YouTube videos, podcasts) with built-in OCR and speech-to-text technology.
View Transcription Guide
- Integrates with cloud storage and business apps such as Google Drive, SharePoint, Notion, Confluence, and HubSpot using API connectors and Zapier.
See Zapier Connectors
- Offers both manual uploads and automated retraining (auto-sync) to continuously refresh and update your knowledge base.
|
- Enables data ingestion mainly through a REST API: upload PDF, Markdown, or TXT files
[Upload File]
or raw text
[Upload Text].
- No one-click connectors for Google Drive, Notion, etc.; developers typically write scripts to fetch data from external sources and then call Supavec’s API.
- Open-source nature means custom connectors can be built for any backend (PostgreSQL, MongoDB, S3, etc.).
- Scales horizontally (using Supabase) to handle millions of documents, automatically chunking them for efficient retrieval.
|
| Integrations & Channels |
- Provides an embeddable chat widget for websites and mobile apps that is added via a simple script or iframe.
- Supports native integrations with popular messaging platforms like Slack, Microsoft Teams, WhatsApp, Telegram, and Facebook Messenger.
Explore API Integrations
- Enables connectivity with over 5,000 external apps via Zapier and webhooks, facilitating seamless workflow automation.
- Offers secure deployment options with domain allowlisting and ChatGPT Plugin integration for private use cases.
|
- Provides a REST API for retrieval/generation, but no pre-built widgets or native Slack/Teams integration.
- Developers must implement the chat interface or Slack bot themselves, calling Supavec for the Q&A logic.
- Does not offer a Zapier integration; webhooks are up to the user to configure in their own application logic.
- Embeds easily into any environment that can make HTTP calls, but requires coding to build the final user-facing channel.
|
| Core Chatbot Features |
- Delivers retrieval-augmented Q&A powered by OpenAI’s GPT-4 and GPT-3.5 Turbo, ensuring responses are strictly based on your provided content.
- Minimizes hallucinations by grounding answers in your data and automatically including source citations for transparency.
Benchmark Details
- Supports multi-turn, context-aware conversations with persistent chat history and robust conversation management.
- Offers multi-lingual support (over 90 languages) for global deployment.
- Includes additional features such as lead capture (e.g., email collection) and human escalation/handoff when required.
|
- Focuses on retrieval + answer generation. No built-in conversation history or lead capture – calls are stateless.
- Lacks native “human handoff” or analytics; those must be implemented at the application level.
- Efficiently retrieves relevant text chunks from your indexed data, then uses an LLM for the final answer.
- Ideal if you only need raw RAG functionality and plan to build conversation management yourself.
|
| Customization & Branding |
- Enables full white-labeling: customize the chat widget’s colors, logos, icons, and CSS to fully match your brand.
White-label Options
- Provides a no-code dashboard to configure welcome messages, chatbot names, and visual themes.
- Allows configuration of the AI’s persona and tone through pre-prompts and system instructions.
- Supports domain allowlisting so that the chatbot is deployed only on authorized websites.
|
- No pre-made chat UI or theming. Branding is entirely up to the front-end you build on top of Supavec.
- Open-source approach: no “Supavec” branding to remove – you own the look/feel of the final application.
- Developers can incorporate domain checks or access controls as they see fit in their custom UI.
- Effectively, “white-labeling” is inherent because Supavec only provides an API, not a hosted widget.
|
| LLM Model Options |
- Leverages state-of-the-art language models such as OpenAI’s GPT-4, GPT-3.5 Turbo, and optionally Anthropic’s Claude for enterprise needs.
- Automatically manages model selection and routing to balance cost and performance without manual intervention.
Model Selection Details
- Employs proprietary prompt engineering and retrieval optimizations to deliver high-quality, citation-backed responses.
- Abstracts model management so that you do not need to handle separate LLM API keys or fine-tuning processes.
|
- Model-agnostic: typically uses OpenAI GPT-3.5 by default, but developers can point it to GPT-4 or other LLMs if self-hosted.
- No built-in toggle or advanced routing – switching models is a matter of changing the config or prompt path in your code.
- Supavec doesn’t add proprietary prompt engineering or anti-hallucination layers on top of the LLM; it’s basic RAG.
- The result quality mostly depends on the LLM chosen and the developer’s prompt strategy.
|
| Developer Experience (API & SDKs) |
- Provides a robust, well-documented REST API with endpoints for creating agents, managing projects, ingesting data, and querying responses.
API Documentation
- Offers official open-source SDKs (e.g. Python SDK
customgpt-client) and Postman collections to accelerate integration.
Open-Source SDK
- Includes detailed cookbooks, code samples, and step-by-step integration guides to support developers at every level.
|
- Features a straightforward REST API for file uploads, text uploads, and search queries.
[Upload Examples]
- No official multi-language SDK; devs typically use fetch/axios or create custom wrappers for the endpoints.
- Concise documentation includes JS code snippets for each endpoint; Postman collections are available.
- Open-source code is on GitHub for transparency and potential community contributions.
|
| Integration & Workflow |
- Enables rapid deployment via a guided, low-code dashboard that allows you to create a project, add data sources, and auto-index content.
- Supports seamless integration into existing systems through API calls, webhooks, and Zapier connectors for automation (e.g., CRM updates, email triggers).
Auto-sync Feature
- Facilitates integration into CI/CD pipelines for continuous knowledge base updates without manual intervention.
|
- Designed to be a building block in custom applications: you upload content, then query for matches to feed your LLM calls.
- No native event triggers or automation – developers implement any external actions themselves.
- Horizontally scalable via Supabase if self-hosted, or rely on hosted Supavec for simpler deployments (with monthly API call limits).
- Enterprises can discuss higher-tier usage or dedicated infrastructure for large volumes and concurrency.
|
| Performance & Accuracy |
- Optimized retrieval pipeline using efficient vector search, document chunking, and caching to deliver sub-second response times.
- Independent benchmarks show a median answer accuracy of 5/5 (e.g., 4.4/5 vs. 3.5/5 for alternatives).
Benchmark Results
- Delivers responses with built-in source citations to ensure factuality and verifiability.
- Maintains high performance even with large-scale knowledge bases (supporting tens of millions of words).
|
- Depends largely on raw GPT model performance; no advanced anti-hallucination beyond standard RAG benefits.
- Retrieval is fast due to Postgres-based vector search; can handle millions of chunks with minimal latency.
- Accuracy is comparable to “typical RAG on GPT-3.5/4” – not specifically benchmarked against advanced solutions.
- Developers can prompt-engineer for citations or minimal hallucinations, but no built-in citation generator by default.
|
| Customization & Flexibility (Behavior & Knowledge) |
- Enables dynamic updates to your knowledge base – add, remove, or modify content on-the-fly with automatic re-indexing.
- Allows you to configure the agent’s behavior via customizable system prompts and pre-defined example Q&A, ensuring a consistent tone and domain focus.
Learn How to Update Sources
- Supports multiple agents per account, allowing for different chatbots for various departments or use cases.
- Offers a balance between high-level control and automated optimization, so you get tailored behavior without deep ML engineering.
|
- Allows quick updates to the knowledge base: upload or overwrite files, re-embedding them nearly instantly.
- Behavior is fully controlled by your own prompt templates; no GUI persona settings exist.
- Multi-lingual data is supported, but again, you handle any special instructions to the LLM in your code.
- Can attach custom metadata or chunking parameters, but you build your own logic around it if needed.
|
| Pricing & Scalability |
- Operates on a subscription-based pricing model with clearly defined tiers: Standard (~$99/month), Premium (~$449/month), and custom Enterprise plans.
- Provides generous content allowances – Standard supports up to 60 million words per bot and Premium up to 300 million words – with predictable, flat monthly costs.
View Pricing
- Fully managed cloud infrastructure that auto-scales with increasing usage, ensuring high availability and performance without additional effort.
|
- Offers an open-source version (MIT licensed) for self-hosting – free aside from infrastructure costs.
- Hosted cloud plans: Free tier (100 API calls/month), Basic ($190/year for 750 calls/month), Enterprise ($1,490/year for 5k calls/month).
[Pricing Info]
- Calls beyond plan limits require negotiation or self-hosting to remove the usage cap entirely.
- Doesn’t meter the volume of content stored, only queries; large repositories are possible but queries are limited by plan.
|
| Security & Privacy |
- Ensures enterprise-grade security with SSL/TLS for data in transit and 256-bit AES encryption for data at rest.
- Holds SOC 2 Type II certification and complies with GDPR, ensuring your proprietary data remains isolated and confidential.
Security Certifications
- Offers robust access controls, including role-based access, two-factor authentication, and Single Sign-On (SSO) integration for secure management.
|
- Self-hosting grants full data control – data stays on your servers, ideal for strict compliance and data sovereignty.
[Open-Source Control]
- Hosted version uses Supabase with Row Level Security, ensuring each team’s data is isolated.
- Commits to not training third-party models on your documents; data belongs solely to the user.
- Enterprises can opt for dedicated infrastructure or on-prem hosting to meet HIPAA/GDPR demands.
|
| Observability & Monitoring |
- Includes a comprehensive analytics dashboard that tracks query volumes, conversation history, token usage, and indexing status in real time.
- Supports exporting logs and metrics via API for integration with third-party monitoring and BI tools.
Analytics API
- Provides detailed insights for troubleshooting and continuous improvement of chatbot performance.
|
- No built-in analytics dashboard – developers track usage by logging requests or using Supabase’s monitoring if self-hosted.
- Hosted plan shows basic API call counts, but no conversation transcripts or user satisfaction metrics out of the box.
- Any advanced monitoring (e.g., conversation analysis) must be implemented in your application layer.
- Integrates with third-party logging/monitoring tools by design, but not pre-packaged like in a SaaS product.
|
| Support & Ecosystem |
- Offers extensive online documentation, tutorials, cookbooks, and FAQs to help you get started quickly.
Developer Docs
- Provides responsive support via email and in-app chat; Premium and Enterprise customers receive dedicated account management and faster SLAs.
Enterprise Solutions
- Benefits from an active community of users and partners, along with integrations via Zapier and GitHub-based resources.
|
- Provides community support on GitHub and Discord; paid tiers include email or priority email support.
[Docs Mention]
- Open-source project with potential for community contributions, forks, and user-created connectors.
- Documentation is succinct, focusing on API endpoints; fewer tutorials than a typical commercial SaaS platform.
- Developers often share code samples or quickstart snippets; not as extensive a library as bigger platforms yet.
|
| Additional Considerations |
- Reduces engineering overhead by providing an all-in-one, turnkey RAG solution that does not require in-house ML expertise.
- Delivers rapid time-to-value with minimal setup – enabling deployment of a functional AI assistant within minutes.
- Continuously updated to leverage the latest improvements in GPT models and retrieval methods, ensuring state-of-the-art performance.
- Balances high accuracy with ease-of-use, making it ideal for both customer-facing applications and internal knowledge management.
|
- Open-source approach: no vendor lock-in, full transparency of code, and on-prem or offline usage if needed.
- Focuses purely on RAG logic; no advanced enterprise features like SSO, analytics dashboards, or a refined front-end included.
- Ideal for developers wanting maximum control, or who must host entirely in-house for compliance reasons.
- Relies on the user’s custom or 3rd-party solutions for conversation flow, advanced prompt engineering, and UI design.
|
| No-Code Interface & Usability |
- Features an intuitive, wizard-driven web dashboard that lets non-developers upload content, configure chatbots, and monitor performance without coding.
- Offers drag-and-drop file uploads, visual customization for branding, and interactive in-browser testing of your AI assistant.
User Experience Review
- Supports role-based access to allow collaboration between business users and developers.
|
- No no-code dashboard for uploading documents or configuring the agent. All interactions happen via API or CLI.
- Requires developer skills to integrate into a chat UI or automated workflow. Suited to code-first teams.
- Self-hosters can build custom GUIs on top of Supavec’s endpoints, but that’s not provided out-of-the-box.
- Contrasts with CustomGPT’s business-user-oriented UI; Supavec intentionally caters to code-savvy audiences.
|
CustomGPT
Supavec