docs: add recent conference videos and RAG tools

Author: georgeguimaraes

readme.md

@@ -64,6 +64,8 @@ Besides giving an overview for experienced Elixir developers, this list can be u
 - [Instructor.ex](https://github.com/thmsmlr/instructor_ex) - Structured outputs from LLMs using Ecto schemas. Works with OpenAI, llama.cpp and Bumblebee.
 - [Mentor](https://github.com/zoedsoupe/mentor) - Library for generating validated structured outputs from LLMs with automatic retries and schema validation.
 - [Ollama-ex](https://github.com/lebrunel/ollama-ex) - Elixir client for Ollama API with support for completions, chat, tools, and function calling.
+- [Rag](https://github.com/bitcrowd/rag) - Library for building Retrieval Augmented Generation (RAG) systems with support for vector stores like pgvector and chroma.
+- [TextChunker](https://github.com/revelrylabs/text_chunker_ex) - Semantic text chunking library optimized for vector embedding and RAG applications.
 
 ### Agent Frameworks
 - [Jido](https://github.com/agentjido/jido) - Framework for building autonomous, distributed agent systems with modular actions, stateful agents, and sensors. AI-framework agnostic.
@@ -92,6 +94,7 @@ Besides giving an overview for experienced Elixir developers, this list can be u
 
 ### Videos
 
+- [(2025) Keynote: Designing LLM Native systems - Sean Moriarity](https://www.youtube.com/watch?v=R9JRhIKQmqk)
 - [(2024) Using LLMs and AI Agents to super power your Phoenix apps - Byron Saltysiak](https://www.youtube.com/watch?v=Hnpt2zv0rVw)
 - [(2023) A year in production with Machine Learning on the BEAM](https://www.youtube.com/watch?v=HP86Svk4hzI) (Explorer, Scholar, Bumblebee, Livebook)
 - [(2023) Nx-powered decision trees](https://www.youtube.com/watch?v=rbmviKT6HkU) (Nx, EXGBoost)