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Newsletter #222: Build Dynamic AI Prompts with LangChain Templates

Newsletter #222: Build Dynamic AI Prompts with LangChain Templates


๐Ÿ“… Today’s Picks

DuckDB: Zero-Config SQL Database for DataFrames

Code example: DuckDB: Zero-Config SQL Database for DataFrames

Problem

Setting up database servers for SQL operations requires complex configuration, service management, and credential setup.

This creates barriers between data scientists and their analytical workflows.

Solution

DuckDB provides an embedded SQL database with zero configuration required.

Key benefits:

  • No server installation or management needed
  • Direct SQL operations on DataFrames and files
  • Compatible with pandas, Polars, and Arrow ecosystems
  • Fast analytical queries with columnar storage
  • Open-source with active development community

Query your data instantly without database administration overhead.


Build Dynamic AI Prompts with LangChain Templates

Code example: Build Dynamic AI Prompts with LangChain Templates

Problem

Hard-coded prompts limit flexibility and make it difficult to adapt AI applications to different contexts or user inputs.

Creating separate functions for each prompt variation leads to duplicate code with no reusability.

Solution

LangChain’s PromptTemplate enables dynamic, reusable prompts with variable substitution.

Create one template that adapts to multiple contexts:

  • Variable substitution with {topic}, {audience}, {examples}
  • Single template for unlimited prompt variations
  • Clean, maintainable code structure
  • Compatible with all major LLM providers

Transform repetitive hard-coded prompts into flexible, reusable templates that scale with your AI application needs.


โ˜•๏ธ Weekly Finds

GHunt [Python Utils] – Modulable OSINT tool designed to investigate Google accounts and objects using various techniques

nbQA [Python Utils] – Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks

pg_vectorize [LLM] – Postgres extension that automates the transformation and orchestration of text to embeddings for vector and semantic search

Looking for a specific tool? Explore 70+ Python tools โ†’

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