app VS langchainjs

nickytonline posted on Mar 13, 2024

fix: now workspace settings and new page have a fixed footer for CTAs #2982

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chore: removed prettier intergrations from eslint #2635

fix: add missing skeleton loader for insights panel #2524

With these questions, I decided to do my experiments based on two projects that I am involved with: the first is OpenSauced, and the second is okuyun.org.

At OpenSauced, we're using Next.js to build out the main application.

feat: add most used languages graph #2158

feat: Svelte added to interests dropdown list #2168

We believe in making the OpenSauced experience great for everyone who uses it and all our contributors. We welcome continued contributions, including issues, bug reports, pull requests, blog posts written about your OpenSauced experience, and your feedback. If you want to learn more about how to use OpenSauced to see how your projects are doing, check out our Introduction to OpenSauced or get started today.

*** 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.

Another llm orchestration library for js/ts

You will probably need to create a custom agent with custom tools to do what you want to do. Look at Langchain (seems like there is an open PR for Google calendar tools here: https://github.com/hwchase17/langchainjs/pull/1777). There are a lot of great integration examples on their website (including for vectorDB memory https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory)

You can checkout there docs (here)[https://js.langchain.com/docs/].

The strategy I tried, was to point scalablytyped, at langchainJS.

TL;DR the BANGER TWEET BRAINSToRMER 💥 🐦 🧠 is an open-source, fullstack React/Express/Postgres/Pinecone app that brainstorms new ideas and tweet drafts based on your own notes/ideas and the tweets of your favorite twitter users. This isn't a bot, but you can think of it rather as your personal twitter intern that monitors current twitter **trends**, keeps note of your **ideas**, helps you **brainstorm** new ones, and write **draft** tweets. It's your job to find and edit the best ideas before saving them to your personal notes database or tweeting them out from the app itself. it uses pg-boss cron jobs via Wasp, OpenAI, langChain, and Pinecone for the vector store https://github.com/vincanger/twitter-brainstorming-agent

It is not great. It has a lot of limitations, but can be used under certain conditions. https://github.com/hwchase17/langchainjs/pull/655