llamaindex

Original：🇺🇸 English

Translated

LlamaIndex data framework for LLMs. Use for RAG applications.

7installs

Added on2026-02-11

NPX Install

npx skill4agent add g1joshi/agent-skills llamaindex

LlamaIndex (formerly GPT Index) connects LLMs to your data. 2025 introduces Workflows, an event-driven way to build complex RAG pipelines.

RAG (Retrieval Augmented Generation): Indexing PDFs, Docs, SQL to chat with them.
Structured Data: Querying SQL/Pandas with natural language (
```
NLSQL
```
).
Agents: Building research agents that browse the web and summarize.

Event-driven architecture for agents. Replace DAGs with event listeners (

@step

).

High-level API (

index.as_query_engine()

) to ask questions.

Connectors for Notion, Slack, Discord, PDF, etc.

Do:

Use Workflows: They are harder to learn but easier to debug than monolithic engines.
Use Hybrid Search: BM25 (Keyword) + Vector Search for best retrieval accuracy.
Use Rerankers: Always rerank retrieved nodes (Cohere/BGE) before sending to LLM.

Don't:

Don't dump raw text: Use "Node Parsers" to chunk data intelligently (Markdown, Semantic).