The LLM Orchestration Landscape

You can call an LLM API in 5 lines of code. Congrats. But building a system that uses LLMs reliably in production? That's an entirely different game.

Here's what happens when you naively ship an LLM-powered feature:

Week 1: Works great in demos
Week 2: Users start getting hallucinated responses
Week 3: Your OpenAI bill is $2,400 and climbing
Week 4: Response times spike to 12 seconds during peak hours
Week 5: You realize you have zero visibility into what's happening

The gap between "API call that works" and "production system that's reliable" is where orchestration lives.

1 / 9

Build in public

Tweet: 'LangChain vs LlamaIndex vs custom — mapped the entire LLM orchestration landscape so you don't have to.'

When to RAG vs Fine-Tune vs Prompt Engineer

Rex — The LLM Orchestration Landscape

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LLM Orchestration & RAG Systems/LLM Orchestration Foundations/The LLM Orchestration Landscape

25 minLesson 1 of 13

The LLM Orchestration Landscape

You can call an LLM API in 5 lines of code. Congrats. But building a system that uses LLMs reliably in production? That's an entirely different game.

Here's what happens when you naively ship an LLM-powered feature:

Week 1: Works great in demos
Week 2: Users start getting hallucinated responses
Week 3: Your OpenAI bill is $2,400 and climbing
Week 4: Response times spike to 12 seconds during peak hours
Week 5: You realize you have zero visibility into what's happening

The gap between "API call that works" and "production system that's reliable" is where orchestration lives.

1 / 9

Build in public

Tweet: 'LangChain vs LlamaIndex vs custom — mapped the entire LLM orchestration landscape so you don't have to.'

When to RAG vs Fine-Tune vs Prompt Engineer

LLM Orchestration & RAG Systems/LLM Orchestration Foundations/The LLM Orchestration Landscape

25 minLesson 1 of 13

The LLM Orchestration Landscape

You can call an LLM API in 5 lines of code. Congrats. But building a system that uses LLMs reliably in production? That's an entirely different game.

Here's what happens when you naively ship an LLM-powered feature:

Week 1: Works great in demos
Week 2: Users start getting hallucinated responses
Week 3: Your OpenAI bill is $2,400 and climbing
Week 4: Response times spike to 12 seconds during peak hours
Week 5: You realize you have zero visibility into what's happening

The gap between "API call that works" and "production system that's reliable" is where orchestration lives.

1 / 9

Build in public

Tweet: 'LangChain vs LlamaIndex vs custom — mapped the entire LLM orchestration landscape so you don't have to.'

When to RAG vs Fine-Tune vs Prompt Engineer

Rex — The LLM Orchestration Landscape

Gemini Flash

Ask Rex anything about this lesson

Get help with concepts, run prompts, practice exercises, or ask what to do next.

LLM Orchestration & RAG Systems/LLM Orchestration Foundations/The LLM Orchestration Landscape

25 minLesson 1 of 13

The LLM Orchestration Landscape

You can call an LLM API in 5 lines of code. Congrats. But building a system that uses LLMs reliably in production? That's an entirely different game.

Here's what happens when you naively ship an LLM-powered feature:

Week 1: Works great in demos
Week 2: Users start getting hallucinated responses
Week 3: Your OpenAI bill is $2,400 and climbing
Week 4: Response times spike to 12 seconds during peak hours
Week 5: You realize you have zero visibility into what's happening

The gap between "API call that works" and "production system that's reliable" is where orchestration lives.

1 / 9

Build in public

Tweet: 'LangChain vs LlamaIndex vs custom — mapped the entire LLM orchestration landscape so you don't have to.'

When to RAG vs Fine-Tune vs Prompt Engineer