Converter VS langchainjs

The longer story is that st-material-ui incorporates https://github.com/ScalablyTyped/Converter/pull/487 in order to get much, much cleaner API. You'll probably have seen the fake literal types, some rewriting from type unions to inheritance, things like that.

Given that you want interoperability with js, I'd start by playing with https://scalablytyped.org/, then, play with the scalajs-react demos (https://github.com/ScalablyTyped/ScalaJsReactDemos) and the slinky demos (https://github.com/ScalablyTyped/SlinkyDemos). There are some libraries that scalablytyped doesn't support pretty well but you can leverage https://github.com/nafg/scalajs-facades for those.

ScalaJS is awesome. Really solid and mature project, can totally recommend.

The only thing that can be annoying is when you want to have a typesafe interface and have to write a lot of adapters for javascript libraries.

Fortunately there is even a project that can make use of typescript interfaces for those libraries, so that you can use them from ScalaJS more or less automatically: https://scalablytyped.org/

I'm using it mostly for full-stack web development with ScalaJS (https://www.scala-js.org) in the frontend (https://outwatch.github.io/docs/readme.html) and in the backend with AWS lambdas.

The ecosystem is currently in the process of porting all the libraries to Scala 3. So if you're new to Scala, I'd recommend to start with Scala 2, which is rock-solid and already very powerful.

I never worked with SQLAlchemy. But on the scala database side, popular libraries are Doobie (https://tpolecat.github.io/doobie) and Quill (https://getquill.io). Keep in mind that these are for Scala on the JVM. On the ScalaJS side I'm using the javascript library pg. But I'd like to try if it works well with Prisma soon.

The nice thing about ScalaJS is, that you can use Javascript libraries. And if there are typescript facades, then you can transpile these to Scala and use them in a type safe way (https://scalablytyped.org).

You will find the below code in langchainjs/src/utils/openai.ts

At line 11 in langchain-openai/src/utils/headers.ts

In this article, we will review deno.json file in lanchainjs source code. we will look at:

LangChain.js on GitHub

AI: Langchainjs

The current implementation uses the node-redis client, but I wanted to try out iovalkey client. I am not a JS/TS expert, but it was simple enough to port the existing implementation.You can refer to the code on GitHub

import { GithubRepoLoader } from "langchain/document_loaders/web/github"; import ignore from "ignore"; const loader = new GithubRepoLoader( "https://github.com/langchain-ai/langchainjs", { recursive: false, ignorePaths: ["*.md", "yarn.lock"] } ); const docs = await loader.load(); console.log(docs.slice(0, 3));

*** all code examples are using LangChain TS on the main branch on September 22nd, 2023 (roughly version 0.0.153).

At the time of the prototype's development, the Langchain GitHub loader sent one request per file to fetch the repository sequentially, leading to prolonged download times. In our case about 2 minutes for the insights.opensauced.pizza repository. This issue was later resolved in hwchase17/langchainjs#2224, enabling parallel requests for faster retrieval.