
Botsify
Omnichannel Managed AI Chatbots for High-Conversion Customer Support and Sales Automation.

A managed RAG platform that transforms proprietary data into task-executing AI agents.

Chatbase is a managed Retrieval-Augmented Generation (RAG) platform that enables businesses to build custom, task-executing AI chatbots synced directly to their internal knowledge bases. Its biggest advantage is the ability to rapidly deploy enterprise-grade, SOC2-compliant conversational agents using premium models without the overhead of a dedicated engineering team. However, highly specialized technical teams may find its managed infrastructure less flexible than building a custom pipeline from scratch using open-source frameworks like LangChain.
Chatbase is a managed Retrieval-Augmented Generation (RAG) platform that enables businesses to build custom, task-executing AI chatbots synced directly to their internal knowledge bases.
Explore all tools that specialize in automate customer support. This domain focus ensures Chatbase delivers optimized results for this specific requirement.
Explore all tools that specialize in qualify sales leads. This domain focus ensures Chatbase delivers optimized results for this specific requirement.
Explore all tools that specialize in lead qualification. This domain focus ensures Chatbase delivers optimized results for this specific requirement.
Uses vector embeddings to find the most relevant document chunks before passing them to the LLM context window.
Interjected conversational forms that validate user input and export data via webhooks.
Scheduled crawling of website URLs to keep the knowledge base updated without manual uploads.
Toggle between different LLM backends (GPT-4o, Claude 3.5) based on cost and performance needs.
Full removal of Chatbase branding and hosting on custom subdomains via CNAME records.
Hyperlinked references provided in every response pointing to the exact PDF page or URL source.
Direct injection of CSS to modify the chat widget's DOM elements.
Account creation and workspace initialization.
Source selection - Uploading PDFs, documents, or entering website URLs for crawling.
Data preprocessing - Chatbase chunks the data and generates vector embeddings.
Model configuration - Selecting the LLM engine (GPT-4o, GPT-4 mini, or Claude).
System Prompt Engineering - Defining the chatbot's persona, constraints, and objectives.
UI Customization - Configuring brand colors, logos, and chat bubble aesthetics.
Lead Form Setup - Defining fields to capture (Email, Name, Phone) during conversations.
Integration - Connecting to Slack, WhatsApp, or Zapier for data flow.
Testing - Using the 'Simulate' environment to verify RAG accuracy and source citations.
Deployment - Embedding the script on a website or connecting a custom domain.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its ease of use and 'it just works' RAG implementation, though some users find the unlimited tier expensive."
Post questions, share tips, and help other users.

Omnichannel Managed AI Chatbots for High-Conversion Customer Support and Sales Automation.

The Autonomous AI SDR that turns cold leads into warm appointments directly within your Slack and CRM ecosystem.

Conversational AI and sales intelligence purpose-built for the outdoor living and landscape industry.

Instantly transform your documentation into custom AI chatbots for automated support and internal knowledge management.

The all-in-one outbound sales platform for hyper-targeted prospecting and automated outreach.

Automated B2B account research and hyper-personalized sales engagement for modern SDR teams.