AI Chatbots Built with Flowise — Deployed in Days
We build production-ready AI chatbots and LLM workflows using Flowise — the open-source visual LangChain builder. From customer support bots to internal knowledge assistants, we deploy enterprise-grade AI chat in days, not months.
Open-source LLM orchestration — without the lock-in
Flowise provides a visual drag-and-drop interface for building LangChain-powered chatbots and AI workflows. Sensussoft deploys Flowise on your own infrastructure, connects it to your knowledge base, integrates it into your website or app, and customizes it beyond what the visual builder provides — giving you full ownership and control.
- Custom Flowise chatbot development and deployment
- RAG-powered knowledge base chatbots
- Self-hosted Flowise infrastructure setup
- Website embed and iframe integration
- API integration for custom frontends
- Multi-model support (OpenAI, Claude, local LLMs)
- Custom tool and chain node development
- Document upload and vector store management
- Conversation history and memory configuration
- Analytics and user conversation monitoring
RAG Knowledge Chatbots
Build AI chatbots grounded in your documentation, FAQs, and knowledge base — answering customer questions accurately with source citations.
Vector Store Integration
Connect Flowise to Pinecone, Qdrant, Weaviate, or a local vector DB — processing and indexing your documents for accurate retrieval.
Website & App Embedding
Embed your Flowise chatbot into any website, web app, or portal with a customizable chat widget that matches your brand identity.
Everything you need to succeed
RAG Knowledge Chatbots
Build AI chatbots grounded in your documentation, FAQs, and knowledge base — answering customer questions accurately with source citations.
Vector Store Integration
Connect Flowise to Pinecone, Qdrant, Weaviate, or a local vector DB — processing and indexing your documents for accurate retrieval.
Website & App Embedding
Embed your Flowise chatbot into any website, web app, or portal with a customizable chat widget that matches your brand identity.
Multi-Model Flexibility
Configure Flowise to use OpenAI, Anthropic Claude, local Ollama models, or any combination — switching models without rebuilding your chatbot.
Self-Hosted Deployment
Deploy Flowise on your own servers for complete data privacy — your conversation data never leaves your infrastructure.
Custom Nodes & Tools
Build custom Flowise nodes for proprietary integrations, internal APIs, and business-specific logic that go beyond the default node library.
How we build with you
Chatbot Design
Define the chatbot's purpose, knowledge sources, conversation flows, and handoff rules. Design the architecture before touching any code.
Knowledge Base Setup
Process and index your documents into a vector store — PDFs, Notion pages, websites, databases — with optimized chunking and embedding for accurate retrieval.
Flowise Build & Customize
Build the chatbot chain in Flowise, add custom nodes, configure memory, and integrate with your systems. Test thoroughly with real user questions.
Deploy & Monitor
Deploy to your infrastructure, embed on your website, and set up conversation analytics to track usage, quality, and areas for improvement.
Built with proven technologies
Common questions
Flowise provides a visual interface for LangChain that dramatically speeds up development — you can prototype and iterate on chatbot flows without writing code for every chain. We then add custom nodes and code for anything beyond the visual builder. It's the best of both worlds: speed and flexibility.
Yes — this is one of Flowise's key advantages. We deploy Flowise as a Docker container on your cloud provider or on-premise servers. All conversation data, documents, and vector embeddings stay in your infrastructure. If you use local LLMs via Ollama, even the AI model runs on your hardware.
We implement retrieval-augmented generation (RAG) to ground answers in your approved content, configure the model to say "I don't know" for out-of-scope questions, add a confidence threshold below which the bot escalates to a human, and set up conversation review dashboards so you can catch and fix problematic answers.
Yes — we integrate human-in-the-loop escalation via your preferred live chat platform (Intercom, Zendesk, Crisp, etc.). The bot detects escalation triggers (user frustration, complex questions, specific keywords) and seamlessly transfers the conversation with full context to a human agent.
Ready to get started?
Let's discuss your project and see how we can help you build something extraordinary.