Bravos AI
Build RAG-powered AI chatbots for your website. No code.
Bravos AI lets any business build its own RAG-powered AI chatbot in minutes, with no coding required. The chatbot is trained on your business data (documents, websites, product catalogs) and answers customer questions accurately in 12+ languages.
Unlike basic chatbots, it can query structured data like a database — filter by price, location, or any column and return exact matches. Fully customisable system prompt, automatic lead capture, and a visual widget editor with real-time preview.
Features
- Structured data queries — filter product catalogs by price, location, or any column
- 12+ languages with automatic detection
- Fully customizable system prompt — control tone, personality, and behavior
- Visual widget editor with real-time preview
- Automatic lead capture with email notifications
- Full conversation history with analytics
- Integration with any website via a single script tag
Use Cases
- Real estate agencies answering property queries 24/7 in any language
- E-commerce stores helping customers find products by price, size, or category
- Hospitality businesses handling bookings and FAQs across languages
- Service companies automating repetitive customer questions
- Any business capturing leads outside of business hours
Comments
I built Bravos AI because I saw that intelligent chatbots were only accessible to large companies with technical teams. Small businesses couldn't afford complex setups — they just needed something that answers customers accurately, in any language, at any hour. So I built a platform where you upload your data, customise the chatbot, and it's live in minutes. What makes it different is that it can query your data like a database — filtering by price, location, or any column. Happy to answer any questions!
The structured data querying capability sets this apart from typical chatbot builders. Being able to filter by price, location, or custom columns is exactly what service-based businesses need. The 12+ language support is also a big deal for companies operating in multilingual markets. How does the chatbot handle follow-up questions that reference previous context in the conversation?
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Comments
I built Bravos AI because I saw that intelligent chatbots were only accessible to large companies with technical teams. Small businesses couldn't afford complex setups — they just needed something that answers customers accurately, in any language, at any hour. So I built a platform where you upload your data, customise the chatbot, and it's live in minutes. What makes it different is that it can query your data like a database — filtering by price, location, or any column. Happy to answer any questions!
The structured data querying capability sets this apart from typical chatbot builders. Being able to filter by price, location, or custom columns is exactly what service-based businesses need. The 12+ language support is also a big deal for companies operating in multilingual markets. How does the chatbot handle follow-up questions that reference previous context in the conversation?
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