agents-llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
| Field | Value |
|---|---|
| Owner | davila7 |
| Curator | Thomas Cherickal |
| Source | davila7/claude-code-templates |
| Repo stars | 33,617 |
| License | MIT |
| Repo last push | 2026-11-14 |
Links
- Roles: rag-engineer
- Source repo: davila7/claude-code-templates
- Same repo: eval-genius, evaluation-bigcode-evaluation-harness, evaluation-lm-evaluation-harness, evaluation-nemo-evaluator, prompt-engineering-dspy, distributed-training-deepspeed, distributed-training-megatron-core, distributed-training-pytorch-fsdp
- Registry seed skills for this role: rag-engineer seed skills