Post Content
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 Read More Prompt Engineering
#AI #promptengineering
