Notebooks & Example Apps for Search & AI Applications with Elasticsearch
A collection of Python packages for geospatial analysis with binder-ready notebook examples
chm to markdown and vectorDB
A Jupyter Notebook demonstrating how to use a multi-modal embedding model to build an image search engine.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.
Readme file and Jupyter notebook examples for data repositories on Source Cooperative
The repository contains files (notebooks, data, models) for developing a recommendation system for fiction books based on topic modeling.
Resolução dos exercícios da disciplina Vetores do curso de sistemas de informação na Universidade de Pernambuco, utilizando a ferramenta Jupyter Notebook.
Museos en Red y Detección de Comunidades con Métodos Espectrales | TP de la materia Álgebra Lineal Computacional, UBA-FCEN
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