MeiliSearch VS Strapi

We needed to introduce a new service for search. As we settled on using meilisearch, we needed a way to sync updates on our models with the records in meilisearch. We could've continued to use callbacks but we needed something better.

Meilisearch

In this case, a good strategy is to use vector search only when the keyword/prefix search returns none or just a small number of results. A good candidate for this is MeiliSearch. It uses custom ranking rules to provide results as fast as the user can type.

With the VertexAI endpoint set up and tested, our next step is to work with LibreChat. LibreChat is an open-source ChatGPT clone that can integrate with various AI models, including the PaLM 2 models via the VertexAI API. It's built using React, MongoDB, and Meilisearch technologies.

Meilisearch seems like it is the best open source option.

https://www.meilisearch.com/

Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice (Hugging Face, OpenAI). As we published the first v1.3 release candidate, you can try out vector search today.

I work at Meilisearch, an open-source search engine built in Rust. 🦀

https://www.meilisearch.com/ https://github.com/meilisearch

Strapi provides a centralized data managing platform. This makes it easier to organize, update, and maintain the FAQ data. It also automatically generates a RESTful API for accessing the content stored in its database.

https://prisma.io is popular as I understand it. I've been trying out https://strapi.io the last week and am thoroughly impressed.

They both do much more than build queries. One big thing both do is automate database migration calculations. Strapi goes further and gives you a CMS and admin UI on top, as well as doing a lot more of the complex query building from a json object. Both still require a fundamental understanding of the data model and SQL

As of April 2024, Strapi's GitHub repository has garnered 59.7k stars and 7.5k forks, showcasing its widespread adoption. The project has also secured a substantial $45+ million in funding, cementing its position as a prominent player in the headless CMS space.

const pages = await client.GET("/pages", { params: { query: { filters: { // @ts-ignore - openapi generated from strapi results in Record // https://github.com/strapi/strapi/issues/19644 path: { $eq: path, }, }, // @ts-ignore populate: { blocks: { populate: "*" }, }, }, }, });

On a side note. Where do all these endpoints come from? Strapi is open source. We can read the source code. All these endpoint come from the Users and permissions plugin. So, if we go to Strapi on github and browse around the files a bit eventually you will find the auth.js file that contains all of the routes. You can also find the Strapi controllers in there if you're interested.

Strapi

Strapi: The Code Anarchist

Strapi - Open source Node.js Headless CMS 🚀