langchainjs VS ai

*** 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

Repo-Query, a REST service that indexes public repositories and provides insightful answers to user queries, all within your browser through the OpenSaucedAI browser extension.

You can start using RepoQuery now by installing the OpenSauced/ai chrome extension. This was the work that we have been doing for the last few weeks.

There are a lot of different possibilities for what you can do if you create your own chrome extension. You can find the full code for our chrome extension in our open-sauced/ai repo. As you've seen from the gif at the top of this blog post, our extension has features for refactoring code, writing tests, and explaining code. You can also interact with OpenSauced highlights and more. But there are so many different options for what chrome extensions can do, like adding gifs to your PRs or for interacting with posts online. What have been the most interesting features you've seen in a chrome extension.

Example: An issue might be created to report a bug in the code, request a new feature, or suggest an improvement. Here’s an example of a feature request for OpenSauced’s chrome extension.