Put Your Own Logic Inside the Codex Agentic Loop
Understanding Codex hooks
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Understanding Codex hooks
The post Put Your Own Logic Inside the Codex Agentic Loop appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #M3] - The ten positions the series argues from, and the map of every article that argues them
The post 10 Positions for Enterprise RAG That Mainstream Tutorials Get Wrong appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #14D] - The index lists what the case type demands before any folder is opened, and the two questions worth building for are not retrieval questions at all
The post Parse the Folder, Not Just the PDFs: The Relational Tables RAG Needs on a Case File appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #14B] - No shared fields means no index to build. One summary line per file plus each fileβs own table of contents, and retrieval routes down two levels
The post Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline appeared first on Towards Data Science.
Turning Codex from an interactive assistant into a programmable automation component
The post Running Codex as a Headless Agent appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #7sexies] - The unit of retrieval doesnβt have to be a page or a paragraph. When the corpus carries tables, each body row with its column headers is a chunk in its own right, and itβs often the one row the reader asked about
The post Retrieve One Row from a Table, Not the Whole Table: Row-Level Chunks for RAG appeared first on Towards Data Science.
Improve your proficiency with Claude Code.
The post How to Effectively Align Your Intent with Claude Code appeared first on Towards Data Science.
What a production incident taught me about trusting a model to judge another model's work
The post The LLM Judge That Kept Agreeing With Itself appeared first on Towards Data Science.
Why retrieval quality should be a property of the system, not of the question's wording? Rebuilding knowledge layer with graph traversal on every query, bitemporal edges, and two-threshold entity resolution.
The post Making the Knowledge Layer a Graph You Actually Traverse appeared first on Towards Data Science.
Become a more productive software engineer with LLMs
The post How to Perform Effective Project Management with AI appeared first on Towards Data Science.
RAG Retrieves, It Never Remembers. A vendor-neutral blueprint for applications that accumulate understanding. Includes a complete Azure-native implementation (Microsoft Foundry, Azure AI Search, Cosmos DB,Β FastAPI) mapped to a property-insurance corpus.Β
The post Designing a Persistent Knowledge Layer That Refuses to Guess appeared first on Towards Data Science.
Image inputs and structured outputs with Gemma 4 and Ollama
The post Building Multimodal Workflows with a Local LLM appeared first on Towards Data Science.
Learn how to optimize your CI/CD pipeline for coding agents
The post How to Effectively Deploy Code With Claude Code appeared first on Towards Data Science.
Why use it? How to implement it? What can we do when it fails?
The post How to Implement Structured Output with Local LLMs appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #12] - The category of question most RAG pipelines silently fail on, and the pipeline shape that handles them
The post Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #11] - When the first answer points elsewhere in the document, the pipeline loops back to fetch the linked context
The post Loop Engineering for Cross-References: When RAG Answers βsee Section 7.2β Instead of the Actual Answer appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #5octies] - Rules propose, LLM validates: six deterministic signals on span-level typography surface heading candidates, one bounded loop keeps the real ones, and the same toc_df drops back into the RAG pipeline
The post Building Document Structure with Loop Engineering: Recovering a PDFβs Outline from Body Typography for RAG appeared first on Towards Data Science.
A hybrid LLM application pattern that combines a predefined workflow with adaptive agent behavior
The post Put the Agent Inside the Workflow appeared first on Towards Data Science.
Maximize your efficiency with Claude Code
The post How to Efficiently Prompt Claude Code appeared first on Towards Data Science.
Building a browser-use agent with OpenAI Agents SDK and Playwright MCP
The post How to Give an LLM Agent a Browser appeared first on Towards Data Science.