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Website, Git, Docs, PDFs, Database, Custom APIs
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See all capabilitiesZipchat builds an AI knowledge base from your website, codebase, or connected sources. It indexes everything, deploys an AI agent across your channels, and keeps getting more accurate with every conversation. No manual training. No stale answers. No guessing.
7-day free trial · 30-day money-back guarantee · Live in under 30 minutes
Your sources
Website, Git, Docs, PDFs, Database, Custom APIs
Zipchat AI
Knowledge base + retrieval + reasoning
Every channel
Web chat, WhatsApp, Instagram, Messenger, Email, REST API
Zipchat does not use generic training data to answer your customers. Before any conversation happens, it builds an AI knowledge base from your actual content - your website, your codebase, your product docs, your policies. Every answer the AI gives is grounded in that knowledge base. If the answer is not there, the AI says so and escalates.
Zipchat connects to your sources: crawls your website, clones your Git repository, pulls from connected APIs via Custom Tools, accepts PDF uploads and text snippets. Everything you give it becomes raw material for the knowledge base.
Every piece of content is split into searchable segments of approximately 1,100 characters each. These segments - called embeddings - are the units the AI retrieves when answering a question. Shorter chunks enable more precise retrieval. Longer content does not get lost.
Each chunk is encoded as a vector representation that captures its meaning, not just its keywords. The index supports both semantic search (meaning-based) and keyword search simultaneously. Both run in parallel on every query.
The knowledge base rescans on a schedule: weekly on Starter and Growth plans, daily on Pro, Scale, and Enterprise. When you update your website, push new code, or upload new content, the next sync picks up the changes. You do not update the AI manually.
Six source types cover almost every place your knowledge already lives.
Full site crawl - every page, blog post, and help article your domain serves.
Public and private repos - READMEs, inline code comments, and markdown docs.
Upload runbooks, release notes, policy manuals, or any structured document.
Zendesk Guide, Intercom Articles, Freshdesk KB - all indexed automatically.
Connect live order data, inventory, or user records via Custom Tools at query time.
Paste FAQs, SOPs, or brand voice guidelines directly - no file format required.
Each time a customer sends a message, Zipchat runs a six-stage retrieval loop. The loop retrieves the most relevant knowledge, verifies it against a confidence threshold, then either delivers a grounded answer or escalates to a human - all in real time, with no manual routing required.
The raw message is classified by topic, language, and urgency. Ambiguous phrasing is resolved against conversation history so follow-up questions stay in context.
Semantic vector search and keyword BM25 search run in parallel across the indexed knowledge base. The top candidates from both are merged and re-ranked by relevance score.
The top-ranked chunks are assembled into a prompt context alongside the live conversation history. The context window is sized so the model always has enough signal without hallucinating peripheral details.
The language model drafts an answer constrained strictly to the assembled context. It formats the reply in the visitor's language and applies your brand tone guidelines.
A confidence score is evaluated against your configured threshold. If the answer meets the threshold, it proceeds to delivery. If not, it forks to the escalation path.
Confident answers are sent to the customer with a citation reference, in the visitor's language and brand tone.
Uncertain answers trigger a handoff to a human agent via your helpdesk, with the full conversation context pre-loaded so the agent never has to ask the customer to repeat themselves.
You configure the AI once. It then runs natively across every surface - website widget, API endpoint, WhatsApp, Instagram, and your helpdesk inbox. The same knowledge base, the same brand voice, the same accuracy threshold. No per-channel retraining.
Embed the Zipchat widget on any site with one line of JavaScript. Brand-matched out of the box.
Native WhatsApp Business integration. Same agent, same knowledge base, full message history.
Auto-reply to product questions, order status, and DMs without leaving the customer waiting.
Drafts replies inside Zendesk, Intercom, Gorgias, or Freshdesk. Agents review and send.
Connect Facebook Messenger to your knowledge base. Full conversation context preserved across sessions.
Custom integrations - in-app chat, kiosk surfaces, or voice transcripts. JSON in, JSON out.
Large language models hallucinate when left unconstrained. Zipchat applies three independent guardrails that together prevent fabricated answers from reaching your customers.
RAG grounding
Every answer is composed only from retrieved chunks that exist in your knowledge base. The model is instructed not to generate facts that are absent from the retrieved context. No internet browsing. No generic training data.
Confidence threshold
Before delivery, each draft is scored. If retrieval confidence falls below your configured minimum, the AI does not guess - it acknowledges uncertainty and escalates to a human agent. You set the threshold per use case.
Source citation
Every answer surfaces the exact source chunks used to generate it. Customers can see where the information came from. Your team can audit answer quality and identify knowledge gaps without replaying conversations.
What happens when Zipchat does not know the answer?
It says so - in natural language - and routes the conversation to a human agent. The handoff includes the full conversation transcript, the retrieved context, and the confidence score, so the agent has everything needed to resolve the issue immediately.
Your customer conversations and knowledge base content are sensitive. Zipchat is architected with security as a first principle - not an upgrade tier.
All stored knowledge base data and conversation logs are encrypted with AES-256. All API traffic uses TLS 1.2+.
Each Zipchat account has its own isolated vector store. Your knowledge base is never shared with, or visible to, other Zipchat customers.
Data processing agreements available. Conversation data can be auto-deleted after 30, 60, or 90 days. EU data residency available on Enterprise plans.
Integrate with your identity provider via SAML or OAuth. Assign view-only, editor, or admin roles to team members without sharing credentials.
Zipchat ships with two vertical configurations - one optimized for online stores, one for software companies. Pick the one that fits your business and go live in under 30 minutes.
Zipchat plugs into Shopify, WooCommerce, and Magento and learns your entire product catalog, policies, and past support tickets. It handles order status, returns, product questions, and upsells - reducing support volume while increasing conversion.
Zipchat reads your GitHub repos, product documentation, and changelog and builds a developer-grade knowledge base. It deflects up to 60% of Tier-1 tickets, answers API questions with code examples, and escalates edge cases to your engineering or support team with full context.
No. Zipchat crawls your website, ingests your documentation, and syncs with your connected sources automatically. You provide the URLs and API credentials; the AI builds and maintains the knowledge base on a schedule. You only need to add or remove sources when your content structure changes significantly.
Three mechanisms work together: RAG grounding (answers are composed only from retrieved chunks in your knowledge base), confidence threshold gating (low-confidence drafts are discarded and escalated rather than delivered), and source citation (every answer references the exact chunks used). If none of the retrieved chunks are relevant enough, the AI says it does not know and hands off to a human agent.
The knowledge base syncs on a schedule: weekly on Starter and Growth plans, daily on Pro, Scale, and Enterprise. You can also trigger a manual sync at any time from the dashboard. Emergency content changes - like a recalled product or a policy update - can be pushed immediately using the manual sync button.
It acknowledges the gap in natural language and routes the conversation to a human agent via your connected helpdesk (Zendesk, Intercom, Gorgias, Freshdesk, or others). The handoff includes the full conversation transcript, the retrieved context, and the confidence score. The agent receives everything needed to resolve the issue without asking the customer to repeat themselves.
Yes. Zipchat detects the visitor's language automatically and responds in the same language - even if your source content is only in English. The platform supports 95+ languages. Confidence thresholds apply per-language, so if accuracy drops in a less common language, the AI escalates rather than risk a poor answer.
Website chat widget, WhatsApp Business, Instagram Direct, Messenger, email inbox, and REST API for custom integrations. All channels share the same knowledge base and confidence threshold settings. You configure once and deploy everywhere.
For most websites, the initial knowledge base build completes in under 10 minutes after you enter your URL. Embedding the chat widget on your site takes one line of JavaScript. Connecting a helpdesk for escalation takes another 5 minutes with OAuth. Most customers are live within 30 minutes of signing up.
Yes. Every Zipchat plan includes a 7-day free trial with full access to the knowledge base builder, widget customization, and all integrations, plus a 30-day money-back guarantee on your first payment. If you want a guided walkthrough before committing, book a demo and a product specialist will walk you through setup with your actual content.
