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LLMs and AI agents

Practical guides on structured extraction, LangGraph agents, and automation with language models.

Useful for teams building internal assistants, document automation, data copilots, or tool-using agents.

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Structured Data Extraction from Text with LLMs
LLMs & Agents
New
Structured Data Extraction from Text with LLMs
Jun 2026

Use Python, Pydantic, and the Instructor library to extract structured data from unstructured text. Parse invoices and job postings into typed, validated Python objects — reliably and at scale.

Python
LLMs
Pydantic
AI Agents with LangGraph for Data Analysis
LLMs & Agents
New
AI Agents with LangGraph for Data Analysis
Jun 2026

Build an autonomous data analysis agent using LangGraph. Learn how agents differ from RAG, and implement the ReAct loop with tools for querying and summarizing data.

LangGraph
LangChain
Python
How to Build a RAG System with LangChain and Python
LLMs & Agents
How to Build a RAG System with LangChain and Python
Jan 2026

Build a Retrieval-Augmented Generation system with LangChain, ChromaDB, and OpenAI. Cover document indexing, MMR-based retrieval, evaluation with RAGAS, and production optimizations like re-ranking and semantic caching.

RAG
LangChain
Python
Building an AI or data platform?

Products, platforms, and open-source software for AI, Data Engineering, and Machine Learning.

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Vision

Building an ecosystem of products and open-source software for AI, Data Engineering, and Machine Learning.

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sklearn-genetic-optPyWorkforceCiaren

Iterixs (Currently building)

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