LangChain, LlamaIndex, Haystack: Top LLM frameworks for 2026

For developing LLM applications in 2026, developers can choose from three primary frameworks: LangChain, LlamaIndex, and Haystack. LangChain is the most popular for general-purpose applications and agent orchestration, boasting a mature ecosystem. LlamaIndex excels in data indexing and retrieval, particularly for RAG systems dealing with large document sets. Haystack is a robust option for production NLP pipelines requiring enterprise-grade reliability and maturity, especially for search and QA tasks. AI

影响 Helps developers choose the right framework for LLM application development based on specific needs like RAG or agent orchestration.

排序理由 Comparison of existing AI development frameworks.

在 dev.to — LLM tag 阅读 →

• deepset
• Haystack
• LangChain
• LangGraph
• LangServe
• LangSmith
• LlamaIndex
• LlamaParse
• LLM

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