nextjs-openai-doc-search
Readability4J
nextjs-openai-doc-search | Readability4J | |
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8 | 3 | |
1,487 | 135 | |
1.4% | - | |
5.9 | 4.3 | |
about 2 months ago | over 2 years ago | |
TypeScript | HTML | |
Apache License 2.0 | Apache License 2.0 |
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nextjs-openai-doc-search
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Creating an advanced search engine with PostgreSQL
https://supabase.com/blog/openai-embeddings-postgres-vector
https://supabase.com/blog/chatgpt-supabase-docs
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Best Authentication Library in 2023 ?
There is already AI built into the docs - just hit cmd+k and ask a question. we were one of the first to do this: https://supabase.com/blog/chatgpt-supabase-docs
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We made a AI powered assistant using OpenAI, ruby and redis
We were inspired by what supabase did with the creation of their own ai powered assistant here: https://supabase.com/blog/chatgpt-supabase-docs but we wanted to make one that used a more standard backend in redis and ruby.
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Show HN: Gromit, the OS, AI powered assistant for your website/app
https://release.com/blog/training-chatgpt-with-custom-librar...
We were inspired by what supabase did with the creation of their own ai powered assistant here: https://supabase.com/blog/chatgpt-supabase-docs but we wanted to make one that used a more standard backend in redis and ruby.
Gromit is super new; please give it a shot and make pull requests, leave comments, we would love to chat with you about it!
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Knowledge retrieval architectures for LLMs (2023)
This is the same approach that Supabase Clippy took: https://supabase.com/blog/chatgpt-supabase-docs
They called it "context injection" but the OpenAI community appears to call it "retrieval-augmented generation".
(Tangent) I will go to the grave continuing to call it Supabase Clippy even though presumably this prediction from the Supabase blog post became true:
> Today, we're doing our part to support the momentum by releasing “Supabase Clippy” for our docs (and we don't expect this name to last long before the lawyers catch on).
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Finetuning Large Language Models
> the trick where you search for relevant content and paste that into a prompt
Supabase Clippy was the first docs site to ship this experience to production as far as I can tell: https://supabase.com/blog/chatgpt-supabase-docs
I believe they called it "context injection" and I have been following suit in my own writing on the topic.
I am prototyping experiences like Supabase Clippy and am also very interested in fine-tuning for docs Q&A. But my main question is: what exactly would the fine-tuning inputs and outputs look like for docs Q&A?
From my blog:
> AI is all about prediction. Given this temperature, this wind, this day of the year, what is the chance of rain? Temperature, wind, and date are your inputs. Chance of rain is your desired output. Now, try to apply this same type of thinking towards documentation. What are your inputs? What’s your output? The page title and code block could be your inputs. Whether or not the code builds could be your output. Or maybe the code block should be the output? This is why I keep saying that applying fine-tuning to docs is tricky. What are the inputs and outputs?
https://technicalwriting.tools/posts/ten-principles-response...
(I am an AI n00b and have not looked deeply into how fine-tuning works but it's high on my list to experiment with OpenAI's fine-tuning API. Please LMK if I am getting any fundamentals wrong.)
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Supabase kit for building ChatGPT apps
Make sure to check out https://supabase.com/blog/chatgpt-supabase-docs!
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A ChatGPT Starterkit with Next.js & Tailwind CSS
Can try this: https://github.com/supabase-community/nextjs-openai-doc-search
Readability4J
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Creating an advanced search engine with PostgreSQL
Depending upon the type of content, one might want to look into using the Readability (Browder's reader view) to parse the webpage. It will give you all the useful info without the junk. Then you can put it in the DB as needed.
https://github.com/mozilla/readability
Btw, readability, is also available in few other languages like Kotlin:
https://github.com/dankito/Readability4J
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How does Firefox's Reader View work?
My Hacker News client HACK for iOS and Android has a reader mode ability browser. While on iOS, I was able to use the reader mode feature provided by SFSafariViewController, that wasn't available on android.
So I had to read a ton about this. I ended up using a heavily modified Kotlin version of Readability:
https://github.com/dankito/Readability4J
https://play.google.com/store/apps/details?id=com.pranapps.h...
https://apps.apple.com/us/app/id1464477788
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Show HN: Instantly Listen to Any URL
Not sure about OP but I just implemented this in my Hacker News android client (thanks for the idea OP).
This is how I implemented it. I had already achieved article to "reader mode" by heavily customizing the Kotlin port of Mozilla‘s Readability:
https://github.com/dankito/Readability4J
Then I pass the text via Android's TextToSpeech library and it works very well:
fun trySpeaking(str:String){
What are some alternatives?
superprompt - Prompt Development Environment for GPT
go-readability - Go package that cleans a HTML page for better readability.
namegpt - Generate unique and creative project names in seconds with AI!
article-extractor - To extract main article from given URL with Node.js
medusa-product-ai-widget - A Medusa Admin widget to improve product descriptions with AI. Built with Medusa UI, OpenAI and Vercel AI SDK.
Just-Read - A customizable read mode web extension.
partner-gallery-example - Supabase Partner Gallery Example
percollate - A command-line tool to turn web pages into readable PDF, EPUB, HTML, or Markdown docs.
nodejs-api-starter - 💥 Yarn v2 based monorepo template (seed project) pre-configured with GraphQL API, PostgreSQL, React, Relay, and Material UI. [Moved to: https://github.com/kriasoft/relay-starter-kit]
web-clipper - For Notion,OneNote,Bear,Yuque,Joplin。Clip anything to anywhere
knowledge - A knowledge daemon to collect ideas and auto organize them, with SQLite
unclutter - A modern reader mode and article library for your browser.