llamaindex - Build RAG Applications with LlamaIndex
Ingest documents, build indexes, retrieve relevant content, and query private data for RAG applications.
Tags
Updated: 2026-09-29Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Ingest documents
- Build vector indices
- Query indexed data
- Retrieve relevant chunks
- Create tool-using agents
- Run conversational chat
- Filter by metadata
- Generate structured outputs
- Persist index storage
Inputs
- Documents
- Web URLs
- GitHub repositories
- Database connection details
- SQL queries
- API endpoints
- User queries
- Metadata filters
- LLM credentials
Outputs
- Query responses
- Chat responses
- Retrieved document chunks
- Structured outputs
- Persisted index files
Requirements
- llama-index package
- OpenAI package
- Anthropic package
- Supported LLM access