Conversational Web
Ultra-productive development powered by AI
Why implement Conversational Web ?
More than a chatbot: an intelligence layer over all your content that transforms how your users interact with you.
Conversational Experience
Your users stop navigating menus and search using their own words. They ask, and your site responds with precise information.
True Semantic Search
This is not keyword matching. The search understands user intent and finds relevant content even if the words don’t match.
Higher Engagement
Users find what they need faster. More time on your site, more conversions, and lower bounce rate.
Instant Responses
Thanks to pre-indexing with embeddings and vector databases, responses are generated in real time.
Reliable Information
The model only responds based on your content (RAG). No hallucinations: every answer has a real source.
Any Website
The crawler indexes all your content: pages, products, documentation, blog. It adapts to any CMS or platform.
How it works ?
RAG (Retrieval-Augmented Generation) combines semantic search with language models to answer questions using real information from your site.
Crawling & Indexing
A crawler scans your website and extracts all content. Each page is split into chunks optimized for processing.
Vector Embeddings
Each chunk is converted into a numerical vector using embedding models. These vectors capture the semantic meaning of the text.
Vector Database
Vectors are stored in a vector database (Qdrant, Pinecone, Weaviate) that enables extremely fast similarity searches.
User Query
When a user asks a question, the query is also vectorized. The most similar chunks (Top-K) are retrieved and a reranker sorts them by relevance.
LLM Generation
The most relevant results are sent as context to a language model that generates a natural and accurate response based on your content.
Take your website to the future
Implement a conversational experience powered by artificial intelligence on top of your website’s real content. No hallucinations, no generic answers.