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Llamaindex

skill-g1joshi-agent-skills-llamaindex · by G1Joshi

LlamaIndex data framework for LLMs. Use for RAG applications.

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Install

$ agentstack add skill-g1joshi-agent-skills-llamaindex

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

LlamaIndex

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

When to Use

  • 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.

Core Concepts

Workflows

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

Query Engine

High-level API (index.as_query_engine()) to ask questions.

Data Loaders (LlamaHub)

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

Best Practices (2025)

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).

References

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.