RAG Chatbots

Retrieval-augmented chatbots that answer from approved company content.

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Problem

Where this helps

Generic chatbots can sound confident while using the wrong source or missing company-specific details.

Solution

What Websiteli builds

We connect the chatbot to curated content retrieval, citations, guardrails and fallback handoff paths.

Benefits

Business outcomes before technology choices.

Use approved knowledge

Reduce hallucination risk

Keep answers more current

Support traceable responses

Ideal client

Best fit

Support teams
Knowledge-heavy businesses
B2B services
Internal teams

Technology

Typical stack

RAG
Embeddings
Vector search
OpenAI APIs
Evaluation prompts

Process

A focused path from idea to working system.

Identify the business question or knowledge source

Prepare the data, prompts and retrieval flow

Build a controlled AI workflow

Evaluate answers and improve safeguards

Pricing guidance

KI- und Daten-Upgrade

Usually AI/Data Upgrade with a narrow knowledge base first, then expansion after evaluation.

See pricing structure

Internal links

Related services

AI AI Chatbots AI Knowledge Base Search AI Semantic Search AI Internal AI Assistants

FAQ

Questions about rag chatbots.

What problem does this service solve?

Generic chatbots can sound confident while using the wrong source or missing company-specific details.

Is rag chatbots suitable for a small business?

Yes. Websiteli scopes rag chatbots around the workflow, budget and team capacity of the business, then starts with the smallest useful version before expanding.

What does rag chatbots cost?

Usually AI/Data Upgrade with a narrow knowledge base first, then expansion after evaluation.

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