tryAGI/LangChain

Health v2 · maintenance only

Adoption not part of the score

1070 stars · 139 forks observed · 2026-09-01

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LangChain .NET is a C#/.NET implementation of the LangChain framework for building LLM-powered applications through composability. It provides abstractions for chat models, embeddings, vector databases, document loaders, and chains, staying close to the original Python LangChain while remaining open to new entities.

Use cases

• build LLM applications in C#
• create a RAG pipeline over PDF documents
• query a vector database with OpenAI embeddings
• port LangChain abstractions to .NET
• build chatbots and AI agents in .NET
• chain LLM calls with composable abstractions

When to choose

• you are a .NET/C# developer wanting LangChain-style abstractions
• you want an alternative to Semantic Kernel with more provider flexibility
• you need document loading, embeddings, and vector search in one framework

When to avoid

• your project is Python or JavaScript based - use official LangChain instead
• you want a Microsoft-backed, production-hardened framework like Semantic Kernel
• you need only a thin OpenAI API client without chain abstractions

Facets

library · maturity active

agent-framework rag llm-inference sdk chatbot large-language-models artificial-intelligence developer-tools dotnet cross-platform cloud langchain csharp llm openai embeddings vector-database document-loaders composability ai-agents retrieval-augmented-generation

Member repositories

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markdown · JSON · MCP: product_card(name="tryAGI/LangChain")