LangChain

What this tool can do

LangChain provides a modular framework for developing applications that use large language models as core components. It enables chaining of prompts, tools and data sources, allowing developers to create complex reasoning workflows. The platform supports retrieval-augmented generation, agent orchestration and integration with vector databases. LangChain accelerates prototyping, improves production reliability and offers a growing ecosystem of extensions and components.

Typical Use Cases

Building LLM-driven applications
Developers create chatbots, assistants or analysis tools that rely on structured prompt chains.

Retrieval-augmented generation (RAG)
LangChain connects LLMs with external knowledge sources to deliver accurate, up-to-date outputs.

Agent orchestration
The framework manages autonomous agents that can use tools, call APIs and solve multi-step tasks.

Workflow automation
LangChain coordinates sequences of model calls, transformations and evaluations for complex pipelines.

Prototype-to-production transition
Teams standardize LLM components and scale them reliably into production environments.

Integration with vector databases
LangChain provides connectors for embedding stores to support semantic search and memory components.