Context caching guide | Google AI for Developers | Google for Developers
ai.google.dev
Context caching guide | Google AI for Developers | Google for Developers
Extending AI chat with Model Context Protocol (and why it matters)
interconnected.org
Introduction - Model Context Protocol
modelcontextprotocol.io
basic
https://www.aicut.pro/#examples
easy to make brain rot content / ai reels
Advanced:
- scrape context from x or a project / news
- feed through rag to turn into your ‘spin’ and humour
- run through this api or similar and automate posting in bulk
— note works best for TikTok trial testing rather than high fidelity projects
Insight:
it’s always be
... See moreA Beginner's Guide to Website Chunking and Embedding for Your RAG Applications - Zilliz Learn
Ruben Winastwanzilliz.com
Text embeddings are a critical piece of many pipelines, from search, to RAG, to vector databases and more. Most embedding models are BERT/Transformer-based and typically have short context lengths (e.g., 512). That’s only about two pages of text, but documents can be very long – books, legal cases, TV screenplays, code repositories, etc can be tens... See more