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LangChain Agency

LANGCHAINLLMORCHESTRATION

LangChain is a framework for LLM applications: it connects language models with data, tools and workflows, turning models into production AI systems.

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We build withLangChain

LangChain orchestrates models, data and tools. We use it to build AI solutions that reliably draw on your content and processes.

  • Retrieval-augmented generation on your data
  • Tool and API integration for agents
  • Structured outputs and guardrails
  • Monitoring of quality and cost
Image about: We build with LangChain

RAG instead of hallucination

LangChain couples models to your knowledge sources. Answers rest on real content rather than guessed knowledge.

Tools and agents

Through tool integration, LLMs perform actions – search, calculations, API calls – within clearly defined limits.

Illustration zu RAG instead of hallucination und Tools and agents

Orchestrating complex workflows

Chains and graphs link steps into traceable workflows instead of opaque one-off prompts.

Model-independent

LangChain abstracts the provider. Models from OpenAI, Anthropic and others can be swapped without rebuilding the app.

Illustration zu Orchestrating complex workflows und Model-independent

Services &delivery

We support LangChain projects from use case to a production solution.

  • Use-case assessment and architecture
  • RAG pipelines on your data
  • Agents with tool and API integration
  • Evaluation, monitoring and cost control
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Knowledge assistants

LangChain connects models with documents and databases so teams get well-founded answers from their own content.

Agentic automation

With tool access, agents take on multi-step tasks – controlled, traceable and with clear escalations.

Illustration zu Knowledge assistants und Agentic automation

Related services

Ready for your LangChain project?

Let's talk about your requirements – we'll get back to you within 24 hours with concrete next steps.

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Paul Kalisch
Executive Partner

Frequently asked questions about LangChain

When is LangChain worth it for our company?
LangChain pays off as soon as a language model needs to do more than generate text and instead has to draw on your own data, tools and workflows. Typical cases are retrieval-augmented generation on your content, agents that call APIs, or multi-step flows with structured outputs. If you only need a single, simple prompt call, talking to the model's SDK directly is often enough.
How do you build reliable AI applications with LangChain instead of nice demos?
We use LangChain to orchestrate models, data and tools into traceable flows and secure them with structured outputs and guardrails. That gives the model clear inputs, defined output formats and controlled tools rather than free improvisation. On top of that we set up evaluation from the start, so we can measure quality instead of judging it by gut feeling.
How do you integrate LangChain into our existing systems and data?
We connect your content through RAG pipelines so the language model draws on your documents, knowledge sources and databases instead of guessing. Through tool and API integration we link agents to your existing systems such as CRM, shop or internal services. LangChain stays the orchestration layer here: it connects your systems rather than replacing them.
When is LangChain not the right choice?
If you only need a single model call with no data, tools or multi-step logic, LangChain's extra abstraction is more of a burden than a help. And if a provider already ships a ready-made assistant or agent solution that covers all your requirements, we honestly check whether a separate framework is needed at all. We recommend LangChain where orchestrating data, tools and workflows genuinely makes the difference.
How do you operate and maintain a LangChain solution over time?
We set up monitoring for quality and cost so you can see how good the answers are and what they consume. Through ongoing evaluation we notice when behaviour shifts due to new data or a model change and can adjust deliberately. Because models and pricing evolve fast, we design LangChain applications so individual building blocks can be swapped out without rebuilding the whole flow.
Free guide

LangChain & LLM orchestration: the guide

RAG, agents and guardrails – how LLM applications become productive and operationally safe in the enterprise. Download now.

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An AI project with LangChain?

From use-case assessment to a production solution: we build your LLM application with LangChain.

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