Avthar

NEW VIBE CODING TUTORIAL: 15 Hidden Features, Tips, and Settings for @v0 the AI platform by @vercel 00:00 Feature 1: Design Mode 00:33 Video overview 01:05 Feature 2: One-Click Deploy 01:33 Feature 3: Prompt Enhancement 02:12 Feature 4: Use of Modern Frameworks 03:10 Feature 5:…

SIMPLIFY DOCUMENT EMBEDDINGS WITH PGAI VECTORIZER: Postgres + Amazon S3 Tired of complex AI pipelines for document embeddings? We've expanded pgai Vectorizer to automatically create searchable vector embeddings in Postgres from documents stored in S3 while keeping the original…

the best rules in @cursor_ai aren’t the ones you plan. it's the ones you stumble into doing something manually, realizing it’s repetitive, and capturing it as a rule here’s a overview of the 3 main types of rules i've seen (and use myself) ↓

Nice - my AI startup school talk is now up! Chapters: 0:00 Imo fair to say that software is changing quite fundamentally again. LLMs are a new kind of computer, and you program them *in English*. Hence I think they are well deserving of a major version upgrade in terms of…

THE WAY OF CODE, a project by @rickrubin in collaboration with Anthropic:

Excited to announce @tensorlake Cloud! 🧵 Tensorlake converts real-world documents into clean, structured data for business workflow automation and for building Agents in mission-critical documents. It's powered by a state-of-the-art document layout understanding model trained…

we get a lot of questions about which model to use in @cursor_ai, so we put together a guide on how you can think about selecting models based on what we've seen work well

That’s crazy—the potential of hybrid search with @TimescaleDB + @OpenAI embeddings is next level! 🤯🔍 #AI #Postgres #TimescaleDB #HybridSearch

🐘PGAI VECTORIZER NOW WORKS WITH ANY POSTGRES DATABASE (incl Timescale Cloud, Amazon RDS, Supabase, Azure PostgreSQL, and more) We heard you! After consistent feedback from developers, pgai Vectorizer – the tool for robust embedding creation, management, and experimentation by…

Listening to our CTO @michaelfreedman talk about the evolution from data lakes (unstructured) and data warehouses (structured) into unified data lakehouses, I had a thought...

pgAI - PostgreSQL suite of tools to develop RAG, semantic search, and other AI applications github.com/timescale/pgai

PGVECTOR VS QDRANT: You don’t need a specialized vector database for large scale. Postgres is all you need. 🐘There's a common misconception that Postgres and pgvector can't scale for vectors. That’s why we @TimescaleDB built pgvectorscale, an open-source PostgreSQL extension…