Services

KI-Integration

Bringen Sie KI-Funktionen in Produktion, die echten Geschäftswert schaffen.

Overview

Leverage artificial intelligence to solve real business challenges. We build custom Retrieval-Augmented Generation (RAG) pipelines, integrate OpenAI/Claude models, and create intelligent internal assistants that act on your proprietary data safely.

Key Advantages & Value

Instant answers grounded exclusively in your proprietary data
Automated document summarization and data extraction
Reduced customer support workloads with smart AI agents
Strict data privacy with zero model training on your data
Capabilities

Core Features & Architecture

Everything we build into our ki-integration engagements.

Custom RAG Pipelines

Connect LLMs to vector databases containing your company docs, guides, and database tables.

AI Copilots & Assistants

Embedded chat interfaces that assist employees or customers in real time.

Structured JSON Data Extraction

Parse unstructured emails, invoices, and PDFs into structured JSON records.

Guardrails & Safety Filters

Enforce strict output boundaries to prevent hallucinations and off-topic responses.

Technology Stack

Proven Technologies We Use for KI-Integration

Battle-tested tools and frameworks selected for high throughput and long-term reliability.

TypeScriptNode.jsPythonVector DBsOpenAIReact
Process

How We Execute & Deliver

A structured, transparent engineering process from kickoff to global deployment.

01

Use-Case Evaluation

Identifying high-impact workflows for AI enhancement and data readiness.

02

Vector Indexing & RAG Build

Chunking, embedding, and indexing your enterprise data into vector stores.

03

Prompt Engineering & UI

Crafting robust system prompts, safety guardrails, and sleek chat components.

04

Testing & Fine-Tuning

Evaluating response accuracy, latency, and costs before live production launch.

Frequently Asked Questions

Got Questions?

Will our company data be used to train public AI models?

No. We utilize enterprise API contracts where your data remains completely private and is never used for model training.

How do RAG pipelines prevent AI hallucinations?

RAG retrieves exact reference passages from your verified documents and forces the LLM to answer using only those facts.

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