newsletterAugust 22, 2026·Towards Data Science

Building a Proper Backend for My LangGraph AI Agent

Turning a demo agent into something that can keep real booking data The post Building a Proper Backend for My LangGraph AI Agent appeared first on Towards Data Science.

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•Turning a demo agent into something that can keep real booking data The post Building a Proper Backend for My LangGraph AI Agent appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
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Building a Proper Backend for My LangGraph AI Agent

Key Takeaways

Related Articles

Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline

Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call)

Running Codex as a Headless Agent

Estimating from No Data: Deriving a Continuous Score from Categories

Discussion

Building a Proper Backend for My LangGraph AI Agent

Key Takeaways

Related Articles

Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline

Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call)

Running Codex as a Headless Agent

Estimating from No Data: Deriving a Continuous Score from Categories

Discussion

Related Articles

Towards Data Science
Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline
Enterprise Document Intelligence [Vol.1 #14B] - No shared fields means no index to build. One summary line per file plus each file’s 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

Towards Data Science
Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call)
LoRA fine-tuning solved our under-labeling problem. Whether it makes sense for you depends on three questions. The post Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call) appeared first on Towards Data Science.

Towards Data Science
Running Codex as a Headless Agent
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.

Towards Data Science
Estimating from No Data: Deriving a Continuous Score from Categories
A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training The post Estimating from No Data: Deriving a Continuous Score from Categories appeared first on Towards Data Science.