ZenML - Blog

5 mins

Building a Forecasting Platform, Not Just Models

FloraCast is a production-ready template that shows how to build a forecasting platform—config-driven experiments, model versioning/staging, batch inference, and scheduled retrains—with ZenML and Darts.

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LLMOps

12 mins

Langflow vs n8n: Features, Pricing, and Integrations Compared

In this Langflow vs n8n, we compare both platforms’ features, pricing, and integrations.

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LLMOps

15 mins

9 Best Embedding Models for RAG to Try This Year

Discover the 9 best data embedding models for RAG pipelines you build this year.

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LLMOps

17 mins

We Tried and Tested 10 Best Vector Databases for RAG Pipelines

Discover the 10 best data vector databases for RAG pipelines.

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LLMOps

11 mins

Smolagents vs LangGraph: Which One’s Easier to Build and Run AI Agents

In this Smolagents vs LangGraph, we explain the difference between the two and conclude which one is the best to build AI agents.

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LLMOps

13 mins

Haystack vs LlamaIndex: Which One’s Better at Building Agentic AI Workflows

In this Haystack vs LlamaIndex, we explain the difference between the two and conclude which one is the best to build AI agents.

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Tutorials

15 mins

How to Build a Multi-Agent Financial Analysis Pipeline with ZenML and SmolAgents

How to build a production-ready financial report analysis pipeline using multiple specialized AI agents with ZenML for orchestration, SmolAgents for lightweight agent implementation, and LangFuse for observability and debugging.

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