We open-sourced context-steward — an MCP server that loads skills lazily instead of stuffing them into your system prompt.
Zero tokens upfront. Content enters context only when the agent asks.
https://t.co/aIH7DiDk8M
#MCP#AgenticAI#LLMOps
An agentic extension for RAG is to treat documents as tools and agents instead of just text chunks - this allows you to dynamically interact with these documents beyond getting back a fixed list of chunks.
This is a great blog post by @andysingal and diagram by @clusteredbytes showing the architecture setup in @llama_index to make this possible (multi-document agents).
One of the core abstractions we're developing in @llama_index is a concept called "object retrieval" - directly retrieve Python objects instead of just text chunks.
https://t.co/8tKK8dUQ4I
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