Can This FIX Context Loss in RAG?

Checkout Emergent: https://emergent.1stcollab.com/engineerprompt Chunking in RAG is broken! In this video we look at contextualized chunk embeddings that preserves document level global information in your chunks. LINKS: Notebook: https://tinyurl.com/4e6kk992 Blogpost: https://blog.voyageai.com/2025/07/23/voyage-context-3/ Docs: https://docs.voyageai.com/docs/contextualized-chunk-embeddings Contextual Retrieval Anthropic: https://www.anthropic.com/news/contextual-retrieval Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Chunking is Broken 00:55 Contextualized Retrieval Pre-Processing 01:51 Late Chunking Approach 03:12 Similarity Computation Methods 06:05 Introduction to Contextualized Chunk Embeddings 07:35 Sponsor Message: Emergent 08:36 Comparison of Embedding Models 09:32 Code Implementation and Examples 11:49 Pricing and Practical Considerations 13:00 Notebook