voyage-context-3 embedding model by @MongoDB solves this.It is a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation.Check this visual 👇 https://t.co/3gJT2pese5 ...

Despite tuning and balancing tradeoffs, the final chunk embeddings are generated independently with no interaction with each other.This isn't true with real-world docs, which have long-range dependencies.Check this 👇 https://t.co/3pydkHDNCN ...

In RAG:- No chunking drives up token costs- Large chunks lose fine-grained context- Small chunks lose global/neighbourhood contextIn fact, chunking also involves determining chunk overlap, generating summaries, etc., which are tedious.There's another problem! https://t.co/MxXaSqHOK1 ...

RAG is 80% retrieval and 20% generation.So if RAG isn't working, most likely, it's a retrieval issue, which further originates from chunking and embedding.Contextualized chunk embedding models solve this.Let's dive in to learn more! https://t.co/vnQ5tAj1oe ...

A new embedding model cuts vector DB costs by ~200x.It also outperforms OpenAI and Cohere models.Here's a complete breakdown (with visuals): ...

RT Avi Chawla (@_avichawla)Generative vs. discriminative models in ML:(a popular ML interview question) https://t.co/bOWdx8CywA ...

Generative vs. discriminative models in ML:(a popular ML interview question) https://t.co/bOWdx8CywA ...

RT Avi Chawla (@_avichawla)I just put together all my AI Agents posts in a single PDF.It covers:- Agent fundamentals- LLM vs RAG vs Agents- Agentic design patterns- Building Blocks of Agents- Building custom tools via MCP- 12 hands-on projects for AI EngineersDownload link in next tweet. https://t.co/LuQiyM5afF ...

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):I just put together all my AI Agents posts in a single PDF.It covers:- Agent fundamentals- LLM vs RAG vs Agents- Agentic design patterns- Building Blocks of Agents- Building custom tools via MCP- 12 hands-on projects for AI EngineersDownload link in next tweet. https://t.co/LuQiyM5afF ...

It's FREE, access it here:https://t.co/JwCdUAC7yY ...