Adafruit highlights the development of “pycoClaw,” a fully-featured AI agent implemented in MicroPython and running on a $5 ESP32-S3. This agent boasts capabilities like recursive tool calling, persistent memory using SD card storage, and a touchscreen UI, all built with an async architecture and optimized for performance through C user modules. The project is open-source and supports various hardware platforms, with ongoing development for RP2350, and is showcased alongside other Adafruit news including new product releases, community events, and resources for makers.
This tutorial demonstrates how to combine LLM embeddings, TF-IDF vectors, and metadata features into a single Scikit-learn pipeline for document retrieval and search. It covers generating embeddings with Sentence Transformers, calculating TF-IDF, handling metadata, and building a combined retrieval system.
This article compares the performance of LLM embeddings, TF-IDF, and Bag of Words for text vectorization and information retrieval tasks using scikit-learn. It provides a practical comparison with code examples and discusses the strengths and weaknesses of each approach.
The article discusses the evolution of search databases and how vector databases are emerging as a powerful alternative to traditional search engines like Elasticsearch.
A simple Python3 tool to detect similarities between files within a repository.
Document similarity code adapted from Jonathan Mugan's tutorial:
https://www.oreilly.com/learning/how-do-i-compare-document-similarity-using-python
'''
Document similarity code adapted from Jonathan Mugan's tutorial:
https://www.oreilly.com/learning/how-do-i-compare-document-similarity-using-python
'''
