LangChain
LangChain is a framework for building applications powered by large language models, such as assistants and AI agents.
At a glance
- Field
- AI & Machine Learning
- Best for
- LLM apps and agents
- Related service
- AI & Machine Learning
- First conversation
- Free, no obligation
Why businesses use LangChain
It speeds up building AI features that combine models with your data and tools, for example an assistant that searches your documents and then takes an action in your CRM.
How LangChain works
LangChain provides building blocks for connecting models to data sources, retrieving relevant information, calling tools, and chaining multiple steps together into a workflow.
What it's used for
- 01Retrieval-augmented assistants
- 02AI agents that use tools
- 03Document question answering
- 04Multi-step AI workflows
Benefits
- Faster development of AI features
- Works with many model providers
- Large library of integrations
- Avoids lock-in to one model
Good to know
Every technology has trade-offs. We will always tell you when another option fits better.
- Simple features may not need a framework
- Abstractions should be tested carefully in production
How MOKRIN uses LangChain
We use LangChain as part of our ai & machine learning work, mainly for lLM apps and agents. It is one of the tools we recommend when it fits your goals, budget, and existing systems, and you own everything we build with it.
- AI assistants and chatbots
- Document processing
- Predictions and recommendations
- Computer vision
AI & Machine Learning
Related technologies
Have an Idea Worth Building?
Tell us about it in a free, no-obligation consultation. We're happy to sign an NDA first.