Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.
User Question │ Streamlit UI (app.py) │ RAG System (rag_system.py) ├─ 1. Embed question (OpenAI Ada-002) ├─ 2. Search FAISS index (top-5 FAQ chunks) ├─ 3. Build prompt (context + question) └─ 4.
RAG_OPENAI_PROXY: (Optional) Proxy for OpenAI API Embeddings Note: When using with LibreChat, you can also set HTTP_PROXY and HTTPS_PROXY environment variables in the docker-compose.override.yml file ...
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