LlamaIndex

A data framework for connecting LLMs to external data via indexing and retrieval. Integrates with Vertex AI models and vector stores. · Official docs

Related concepts

• Prompt Engineering · Agents & ADK · RAG & Grounding · Embeddings & Vector Search · Applied Use Cases

Used in 3 notebooks

Gemini (3)

• LlamaIndex RAG Workflows using Gemini and Firestore — Builds a LlamaIndex RAG workflow with Gemini, Vertex embeddings, and Firestore storage.
• Comparing LlamaIndex and LlamaParse for Dense Document Questioning Answering on Vertex AI — Compares LlamaIndex and LlamaParse RAG parsing methods for dense 10-Q document QA on Vertex AI.
• Leverage LlamaIndex with Vertex AI Vector Search to perform question answering RAG — Builds LlamaIndex RAG on Vertex AI Vector Search, compares prompts, and adds multi-document agents.

---

Entity · All entities · Home