LangChain vs LlamaIndex — Choosing the Right AI Framework
Technical comparison of LangChain vs LlamaIndex for AI products. When to use each and how to combine them.
What You Need to Know
LangChain is a general-purpose framework excelling at chaining prompts, tool use, and agent architectures.
LlamaIndex specializes in connecting LLMs to your data — indexing, retrieval, and RAG applications.
In practice, many AI products use both: LlamaIndex for data, LangChain for orchestration.
At SpeedMVPs, we select frameworks based on product requirements, not preferences.
Introduction
LangChain and LlamaIndex are the two dominant LLM frameworks. This guide explains when to use each based on your product.
What You'll Get
Comparison Matrix
Side-by-side analysis.
Cost Analysis
Real-world cost comparison.
Risk Assessment
What can go wrong with each option.
Decision Framework
How to choose for your case.
FAQ
What are the key differences?
See our detailed comparison above. The right choice depends on your specific requirements, budget, timeline, and team capabilities.
Can SpeedMVPs help me decide?
Yes. Our scoping process includes technology and approach analysis. We recommend based on your specific situation, not preferences.
How do I get started?
Book a free consultation. We will discuss your requirements and recommend the best approach for your specific situation.
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