MindsDB VS reactivesearch

Check us out on GitHub.

If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.

MindsDB is an open-source AI platform for developers that connects AI/ML models with real-time data. It provides tools and automation to easily build and maintain personalized AI solutions.

MindsDB combines both AI and SQL functions in one; users can create, train, optimize, and deploy ML models without the need for external tools. Data analysts can create and visualize forecasts without having to navigate the complexities of ML pipelines.MindsDB is open-source and works with well-known databases like MySQL, Postgres, Redit, Snowflakes, etc.

Mindsdb is a good example. It abstracts everything related to an AI workflow as "virtual tables". For example, you can import OpenAI API as a "virtual table":

Repo : https://github.com/mindsdb/mindsdb

MindsDB is an AI Automation platform for building AI/ML powered features and applications. It works by connecting any data source with any AI/ML model or framework and automating how real-time data flows between them. MindsDB is integrated with LlamaIndex, which makes use of its data framework for connecting custom data sources to large language models. LlamaIndex data ingestion allows you to connect to data sources like PDF’s, webpages, etc., provides data indexing and a query interface that takes input prompts from your data and provides knowledge-augmented responses, thus making it easy to Q&A over documents and webpages.

Now, imagine if you can deploy these highly trained models in your database to get insights, make predictions, understand your users, auto-generate content, and more. MindsDB makes this possible! MindsDB is an open-source AI database middleware that allows you to supercharge your databases by integrating various machine learning (ML) engines.

The SearchBox component is part of the ReactiveSearch UI kit: https://github.com/appbaseio/reactivesearch and works with Elasticsearch, OpenSearch, Solr, and MongoDB Atlas Search as search engine backends. Support for OpenAI is coming soon - star or watch the repo to be in the loop for this one.

reactivesearch has the most stars from what I can find on GH. I've never used one either, maybe someone else will have a better suggestion.

This is a follow-along post (takes a couple of hours to build this end-to-end) showing how to build a consumer grade search UI using React and Elasticsearch. It makes use of the https://github.com/appbaseio/reactivesearch library (Apache 2.0 licensed) that's being used by over 1,000 projects for building their search UI.

It kinda depends what you have and what you want out of it, for https://demo.rapidez.io/women/tops-women we use Reactivesearch (Vue variant): https://opensource.appbase.io/reactivesearch/

🤩 Reactive Search- UI components for building data-driven search experiences.

ReactiveSearch - UI components library for Elasticsearch