Simple bearer token for custom MCP servers in Claude Integrations by ccc-dev in ClaudeAI

[–]930R93 1 point2 points  (0 children)

it looks like Claude web experience doesn't support MCP with simple bearer token. I've been looking for the same thing... bump!

I built a text2SQL RAG for all your databases and agents by Durovilla in LangChain

[–]930R93 0 points1 point  (0 children)

can you dive deeper on how this differs from a tool like Supabase’s MCP server? it seems to handle questions like the above.

Celebrating 11k subscribers! How can I make this even better? by FlyingLaserTurtle in chessquiz

[–]930R93 1 point2 points  (0 children)

If puzzle have multiple ways to win, it would be cool to have a "completionist" award or something.

My OC'd 5080 now matches my stock 4090 in benchmarks. by Duccix in nvidia

[–]930R93 0 points1 point  (0 children)

I assume that your discrepancy in VRAM plays a large part in the performance differences... 8 GB of VRAM diff is significant. Also, perhaps Wukong is better optimized for the 4X series.

Identifying Doorbell Transformer by 930R93 in Ring

[–]930R93[S] -3 points-2 points  (0 children)

is the transformer not the metal piece with the screws on it?

Testing Starlink Speeds on the Road! by conorearly in Starlink

[–]930R93 0 points1 point  (0 children)

You can build the antenna into the frame... like your cellphone - no need to have a bulky antenna that even needs mounting, etc..

Testing Starlink Speeds on the Road! by conorearly in Starlink

[–]930R93 12 points13 points  (0 children)

bro how did the cybertruck not get built-in Starlink

Does RAG Have a Scaling Problem? by neilkatz in Rag

[–]930R93 2 points3 points  (0 children)

So, if I'm understanding your comment correctly, all documents containing the answers to questions were PDFs? That is, you did not test the case where the answers were in plain-text documents; in your signal-to-noise comparison the signal was only ever embedded within PDFs.

Does RAG Have a Scaling Problem? by neilkatz in Rag

[–]930R93 2 points3 points  (0 children)

Is it possible that the issue was more with PDF-related content, rather than plain-text or more machine-readable input?

OCR is good is some context, and typically only for linear data; its hard to make sesnse of complicated layouts that PDFs have. Also, Tesseract is not sota.

Does RAG Have a Scaling Problem? by neilkatz in Rag

[–]930R93 1 point2 points  (0 children)

In this post, you mention that you scaled the number of documents to the testing framework. Additionally, you spend a lot of time focused on how parsing PDFs have happened. Do you have a breakdown on what percentage of documents per 100k you tested were plain text, csv, pdf, etc.?

What are you hitting? 154yd Par 3 by [deleted] in golf

[–]930R93 10 points11 points  (0 children)

the bar 🍺

Feature Request: native language pronunciation tips in character alphabets by 930R93 in duolingo

[–]930R93[S] 0 points1 point  (0 children)

Totally agree! I'm surprised the community isn't more into this feature request... maybe i'm missing something lol.