Ramkumar

chill

[Ramkumar @Billa2Ram]

Scratchpad is not the mind…

https://t.co/TxvPm8uexh

[Anatoli Kopadze @AnatoliKopadze]

Anthropic engineers finally showed how they actually use Claude Code internally

31 minutes of internal workflow that most Claude users will never see on their own

here's what they cover:
> how to set up project context files the right way
> custom commands that save hours of repeated work
> hooks that make Claude behave exactly how you need
> subagents and how to actually spec them properly

"your agent isn't the problem, your spec is"

the people who understand how Claude Code actually works inside Anthropic are shipping things everyone else thinks requires a whole team

that's exactly why I put together a breakdown of Claude features most people have never discovered

you can find it below

[Avi Chawla @_avichawla]

Researchers built a new RAG approach that:

- does not need a vector DB.
- does not embed data.
- involves no chunking.
- performs no similarity search.

And it hit 98.7% accuracy on a financial benchmark (SOTA).

Here's the core problem with RAG that this new approach solves:

Traditional RAG chunks documents, embeds them into vectors, and retrieves based on semantic similarity.

But similarity ≠ relevance.

When you ask "What were the debt trends in 2023?", a vector search returns chunks that look similar.

But the actual answer might be buried in some Appendix, referenced on some page, in a section that shares zero semantic overlap with your query.

Traditional RAG would likely never find it.

PageIndex (open-source) solves this.

Instead of chunking and embedding, PageIndex builds a hierarchical tree structure from your documents, like an intelligent table of contents.

Then it uses reasoning to traverse that tree.

For instance, the model doesn't ask: "What text looks similar to this query?"

Instead, it asks: "Based on this document's structure, where would a human expert look for this answer?"

That's a fundamentally different approach with:

- No arbitrary chunking that breaks context.
- No vector DB infrastructure to maintain.
- Traceable retrieval to see exactly why it chose a specific section.
- The ability to see in-document references ("see Table 5.3") the way a human would.

But here's the deeper issue that it solves.

Vector search treats every query as independent.

But documents have structure and logic, like sections that reference other sections and context that builds across pages.

PageIndex respects that structure instead of flattening it into embeddings.

Do note that this approach may not make sense in every use case since traditional vector search is still fast, simple, and works well for many applications.

But for professional documents that require domain expertise and multi-step reasoning, this tree-based, reasoning-first approach shines.

For instance, PageIndex achieved 98.7% accuracy on FinanceBench, significantly outperforming traditional vector-based RAG systems on complex financial document analysis.

Everything is fully open-source, so you can see the full implementation in GitHub and try it yourself.

I have shared the GitHub repo in the replies!

[Ramkumar @Billa2Ram]

@OpenAI I know memory is great, but please provide option to refer previous conversation thread in new/another chat in order to provide context quickly and also to avoid too much scrolling to continue conversation in same thread.

[Ramkumar @Billa2Ram]

@StarMaa No inaya no votes!

[Ramkumar @Billa2Ram]

@MaheshP89548303 @StarMaa @iamnagarjuna Should tag sponsors as well

[Ram Iyengar @ramiyengar]

Will be speaking at @PyjamasConf in 15 hours (roughly)...

[Ramkumar @Billa2Ram]

@swastika0015 Traffic!

[Ramkumar @Billa2Ram]

@King_Shrihan 😂😂😂😂😂

[Ramkumar @Billa2Ram]

@StarMaa @DisneyPlusHSTel @iamnagarjuna It’s time to change the host

[Ramkumar @Billa2Ram]

@StarMaa @DisneyPlusHSTel @iamnagarjuna Waste promo!

[Ramkumar @Billa2Ram]

@magicbricks @nobrokercom You guys should add a “pet friendly” filter while searching for rental property! Tired of hearing pet not allowed #bangalore

[Ramkumar @Billa2Ram]

@KaraKidsNFT Done

[Ramkumar @Billa2Ram]

@CurlyGirlsNfts @DraftsNFT @EthereumRicher @NFT_newsglobal

[Ramkumar @Billa2Ram]

@jayhood73 @CurlyGirlsNfts The art is really professional 🔥🔥🔥

[Ramkumar @Billa2Ram]

@jayhood73 @bingley567 Amazing 💪💪💪

[Swastika Yadav @swstica]

Earning in dollars and spending in your currency is absolutely possible!🔥⚡

Platforms that help you find remote jobs⬇️

[Ramkumar @Billa2Ram]

@SquidooNFT Done

[Ramkumar @Billa2Ram]

@PiotrBrulio @MetaOtherside @xh4896 @NFT_lfl @krotov_ftw @mas1mus @_kairong @Art_Maurizio @Maddyy1314 @onosprosper @MrJoshPratt @van_flaes @jDi089 @piLimpieL @PoseidonRaceing @Mattia12749697 @des_tremblay @yrsmontana @jakelow87891688 @ocmyr SCAM!!!