— Technology we master

LangChain

The reference open source framework for building LLM applications.

LangChain is an open source framework (Python, JS/TS) for building LLM applications: prompt chains, tool calling, RAG components and integrations with model providers and vector stores. Its shared abstractions let you swap models or vector stores without rewriting business logic. It's our choice when an AI application needs to orchestrate LLMs, data and tools without locking into a single provider.

[ Why LangChain ]

What LangChain brings to your project.

Typical use cases: RAG assistants, structured extraction, tool-using agents, fast AI app prototyping.

  1. 01

    Unified abstractions: swap LLMs or vector stores without rewriting the app.

  2. 02

    Tool calling and structured outputs for agents and extraction.

  3. 03

    Ready-made RAG components: loaders, splitters, retrievers, embeddings.

  4. 04

    Python and JS/TS, with LangSmith for tracing and evaluation in production.

[ Team ]

Entrust your project
to our experts.

Our experts build your project, delivering superior technical and functional quality within shorter timeframes.

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15
Experts
100+
Projects delivered
78%
Loyal clients
4.9/5
Average rating
[ 200+ Projects ]

They trust us.

Startups, mid-caps, large enterprises, public sector: Kosmos supports organisations of every size in building their web, mobile and AI applications.

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Free quote · no commitment

A project with LangChain?

Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.

  • Reply within 24 hours from a project manager
    or engineer.
  • Technical scoping and quote, with no fees.
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