@LangChain — RAPTOR: long context RAG without chunking
Building long context RAG from scratch with RAPTOR + Claude3 (Video)
The rise of long context LLMs + embeddings will change RAG design. Instead of splitting docs + indexing doc chunks, it's feasible to index full docs.
But, there is a challenge to flexibly answer lower-level questions from these docs...
Interesting shift in RAG thinking. The standard playbook is chunk → embed → retrieve, but as context windows get longer and cheaper, indexing full documents becomes viable. RAPTOR takes it further by building a tree of summaries at different levels of abstraction, so you can answer both fine-grained and high-level questions from the same index — without losing signal by cutting the doc into arbitrary pieces. Worth watching if you're building anything retrieval-heavy.
Building long context RAG from scratch with RAPTOR + Claude3 (Video) The rise of long context LLMs + embeddings will change RAG design. Instead of splitting docs + indexing doc chunks, it's feasible to index full docs. But, there is a challenge to flexibly answer lower-level Show more
@Mike_Andreuzza — uvcanvas, open source React canvas components
An open source React.js component library for beautifully shaded canvas, brought to you by Latent Cat.
- uvcanvas .com
Smart timing to release this. Canvas-based UI components have always been annoying to drop into React apps cleanly — you end up wrapping imperative canvas code in useEffect and hoping for the best. A component library that handles the lifecycle management and ships a clean API is genuinely useful. The "beautifully shaded" part I'll believe when I see it in production, but the abstraction itself is the right call.
An open source React.js component library for beautifully shaded canvas, brought to you by Latent Cat. - uvcanvas .com
@LangChain — SalesGPT, an AI-driven sales agent
💸SalesGPT: Elevating Sales Conversations with LangChain
SalesGPT is an awesome open-source repo that creates an AI-driven sales assistant
This blog by @andysingal deep dives into how this agent is created and how to use it
Honestly saved this more for the architecture pattern than the sales angle. Building a stateful conversational agent that tracks conversation stage, decides when to push for a close, and adapts its pitch is a non-trivial orchestration problem. The repo is a decent reference for how to structure a multi-step agent with memory and conditional branching in LangChain — strip out the sales persona and the underlying pattern applies to a lot of things.
💸SalesGPT: Elevating Sales Conversations with LangChain SalesGPT is an awesome open-source repo that creates an AI-driven sales assistant This blog by @andysingal deep dives into how this agent is created and how to use it Blog: ai.gopubby.com/salesgpt-eleva…
@stanley_human — Awwwards-winning portfolio
My old portfolio site. Snatched awwwards with this bad boy
Not software engineering, but this one's in here for the craft. Portfolio sites that win Awwwards are a useful benchmark for what's possible on the web without reaching for a design tool — just code, WebGL, animation timing. Useful to look at when you're about to ship something you think is "polished" and need to recalibrate.
My old portfolio site. Snatched awwwards with this bad boy