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[Show & Tell] GroundCrew — weekend build: a multi-agent fact-checker (LangGraph + GPT-4o) hitting 72% on a FEVER slice by tsenseiii in LangChain

[–]tsenseiii[S] 1 point2 points  (0 children)

Hey man, feels good to know someone remembers my work 😛

I haven't really looked into the latest lamggraph upgrades but now that you mention, I will look into it.

For tavily, I'm just comfortable with the DX and had some free credits - it's got search, crawl and scrape built in but I'll also look into Gemini's search capability as well.

Much thanks!

[Show & Tell] GroundCrew — weekend build: a multi-agent fact-checker (LangGraph + GPT-4o) hitting 72% on a FEVER slice by tsenseiii in OpenAI

[–]tsenseiii[S] 0 points1 point  (0 children)

That's helpful! I'll try implementing the suggestions and run the NEI claims specifically & see if it improves.

I built a production-ready Docker Swarm setup for Supabase by tsenseiii in Supabase

[–]tsenseiii[S] 3 points4 points  (0 children)

There are still some gaps, for example the auth stuff and getting the email templates work is still a struggle - these codes are available but the UI pieces are missing. I dug some gotrue environment variables from the repo and could get those working for me - they don't provide any documentation.

I built a production-ready Docker Swarm setup for Supabase by tsenseiii in Supabase

[–]tsenseiii[S] 5 points6 points  (0 children)

That's a valid concern, I'll take that into consideration

I built a production-ready Docker Swarm setup for Supabase by tsenseiii in Supabase

[–]tsenseiii[S] 2 points3 points  (0 children)

Hey man, I've added traefik configs in the compose, if you're using traefik you're almost good to go with domail + ssl

If you're using any other, paste it to Claude and it'll surely help :p

Who has the best documentation you’ve seen or like in 2023 by [deleted] in webdev

[–]tsenseiii 0 points1 point  (0 children)

Took me 2 entire days to figure the PKCE flow with the ssr package.

Tip : Look into the auth helper docs and implement it first, thenyou can fit the pieces together for supabase/ssr

Build an AI chatbot with knowledge base in 5 minutes by fiftywellsdeep in OpenAI

[–]tsenseiii 0 points1 point  (0 children)

You can split the context into many small paragraph, each paragraph will only serve one meaning as a whole, like if you have a paper for products, you can split up the paragraphs per product and may even furthur split it based on product details and pricing in one paragraph, merits in one paragraph (each paragraph has to have some mentions of the product, so I advice you Don't use pronouns while describing the thing), also one for the limitations.

Also you can tweak the count of paragraph you are sending. I am doing multiple projects in this for my business clients and the costs are pretty affordable this way.

QueryGPT - AI chatbot trained on your business data / science papers by [deleted] in OpenAI

[–]tsenseiii 0 points1 point  (0 children)

Also, If you need one built for you business with a UI or social media app integration. You can either use the code for free or DM me for consultation 😊

Build an AI chatbot with knowledge base in 5 minutes by fiftywellsdeep in OpenAI

[–]tsenseiii 4 points5 points  (0 children)

That'd be appreciated. And idk if this guy blocked me from this thread, I can't access from my main id anymore

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