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LLM Observability: A Guide to Monitoring with LangSmith

A practical guide to LLM observability, showing how to monitor AI agents using LangSmith, Prometheus, and Grafana.

A production-readiness checklist for your RAG pipeline, covering data engineering, security, and MLOps.

A practical guide to CrewAI for orchestrating hierarchical teams of specialist agents for complex, reliable AI.

A deep dive into using LangGraph to build advanced, stateful, and self-correcting AI agents beyond ReAct.

A unified architecture for RAG and the Modern Data Stack, leveraging dbt to power your AI applications.

Learn the 3 pillars of the data engineering foundation required for building successful, data-aware AI agents.

An architectural guide to building an autonomous 'Corporate Brain' using RAG and Text-to-SQL on your data warehouse.

A modern architectural guide for building real-time AI agents using Kafka Streams for feature engineering.

Here is a list of trends that in the opinion of our experts will have the highest demand in 2019.

A mindmap contains a condensed introduction to the key data science concepts, techniques and tools.