AI & LLM Engineering · LlamaIndex · By agentsope

Designs multiscale chunking for RAG by embedding small units for retrieval precision and returning larger context for synthesis.

agentsope/SkillAlchemy

Adds and tunes a reranker stage for RAG using the retrieve-wide, rerank-narrow pattern.

agentsope/SkillAlchemy

Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph…

agentsope/SkillAlchemy

Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval.

agentsope/SkillAlchemy

Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.

agentsope/SkillAlchemy

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Lifecycle SOP for per-model prompt artifacts — the compiled prompts, instructions, few-shot demos, edit-format pins, and embedding-bound indices that change behavior when the underlying LM, dataset…

agentsope/SkillAlchemy

Decision protocol for the map-reduce / dynamic fan-out pattern in LM pipelines — "given list L, run f(item) for each item in parallel, then combine".

agentsope/SkillAlchemy