telekinesis VS langchain

https://payperrun.com/%3E/search?displayParams={%22q%22:%22S...

(There are quite a few, you might want to filter by date!)

Hey everyone, I just made this thread easier to search through here:

https://payperrun.com/%3E/search?displayParams={%22q%22:%22D...

It uses LLM embeddings to sort postsby semantic proximity, but you can also filter out posts with comma separated values like this:

https://news.ycombinator.com/item?id=33118584

[Shameless plug: I found all these on my llm-embedding based search engine I launched today: https://payperrun.com/%3E/search?displayParams={%22q%22:%22A...

It's much better than HN's default search: https://hn.algolia.com/?q=Ask+HN%3A+What+do+you+regret+doing... ]

https://payperrun.com/%3E/search?displayParams={%22q%22:%22A...

There have been a few attempts at a crowdsourced-rank search engine (which is similar to what you're suggesting - people indexing the content), but it seems to be a hard cookie, most of the examples of similar ideas I could find on ProductHunt or ShowHN seem dead:

https://payperrun.com/%3E/search?displayParams={%22q%22:%22c...

(btw, I just launched this llm-embedding based search service that lets you check if a startup idea has already been tried/failed).

I don't know if this idea has a higher death rate than the baseline, but my guess is Google/PageRank is good enough for most use-cases, and then if you want quality sources, you can just follow them on YouTube, Twitter, Instagram, etc. Wait, maybe I shouldn't try to compete with Google?

I like the section on how it works: https://payperrun.com/%3E/search?display=How%20this%20servic...

The vector search is using https://lancedb.com/ and OpenAI embeddings.

Behaves as I expected now!

I went here looking for more info about payperrun https://payperrun.com/%3E/welcome and clicked on the "Spotlight" section and saw 4 popups blocked - I never see popups anywhere these days and have to admit that sends me away pretty quickly.

Big fan of Aider.

We are interesting in integrating Aider as a tool for Dosu https://dosu.dev/ to help it navigate and modify a codebase on issues like this https://github.com/langchain-ai/langchain/issues/8263#issuec...

Developed using Langchain and Streamlit technologies for enhanced performance.

Tip: Kenton Blacutt, an AWS Associate Cloud App Developer, collaborated with Langchain, creating the Amazon Dynamodb based memory class that allows us to store the history of a langchain agent in an Amazon DynamoDB.

LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup.

> Furthermore, the prompt has a spelling error (Let'w) and also overly focuses on the negative about identifying errors - which makes me skeptical that this prompt has been optimized or tested.

Fixed in https://github.com/langchain-ai/langchain/commit/7c6009b76f0...

Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects

Access Langchain's repository at Langchain's Repository.

This comment is now a potential exploit for any such system that encounters it (in practice most won't be fooled by trivial prompt injections, but possibly more complex ones)

Here's one example I found with a quick search: https://github.com/langchain-ai/langchain/issues/5872