Cursor vs LlamaIndex

Cursor

LlamaIndex

Cursor · 15 features

• Agent Mode — Autonomous multi-file editing + tool use. Runs terminal commands with confirmati…
• Background Agents — Run agents in the cloud to tackle longer tasks async.
• BugBot (PR reviews) — AI reviewer on GitHub PRs.
• Chat (⌘L) — Conversational chat with codebase context.
• Cmd-K Inline Edit — Highlight code + ⌘K → natural language edit instruction.
• Codebase Indexing — Embedding-based semantic search over your codebase.
• Composer — Multi-file edit sessions with full context.
• .cursorrules / Project Rules — Custom system prompts per project to steer the AI.
• MCP Support — Add Model Context Protocol servers to extend agent capabilities.
• Privacy Mode — Data never used for training; zero-retention routing.
• Skills & Hooks — User-defined skills library + lifecycle hooks.
• Tab (multi-line completion) — Predictive completions including next-edit suggestions.
• Team Shared Context — Share chats, commands, rules across team.
• VS Code Extension Compat — Most VS Code extensions work via the marketplace.
• YOLO Mode — Auto-approve all agent actions (for trusted workflows).

LlamaIndex · 16 features

• Agents — Agent patterns: ReAct, function-calling, multi-agent workflows.
• Document Readers — 200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
• Evaluations — Built-in eval framework: faithfulness, context precision/recall.
• LlamaCloud — Managed indexing + retrieval platform. File connectors, auto-chunking, retrieval…
• LlamaExtract — Schema-based structured extraction from unstructured docs.
• LlamaHub — Community marketplace of readers, tools, prompts.
• LlamaParse — Best-in-class PDF + complex document parser. Tables, math, layout preserved.
• Multimodal — Image + text models, image retrieval.
• Node Parsers — Document chunkers: token, sentence, semantic, hierarchical.
• Observability (OpenLLMetry) — OTel-based tracing baked in.
• Property Graph — Graph-based RAG (knowledge graphs from unstructured data).
• Query Engines — Retrieval + response synthesis combos — router, sub-question, tree, etc.
• RAG — End-to-end RAG patterns: ingest → index → retrieve → synthesize.
• Tools — 50+ pre-built tool integrations.
• Vector Store Integrations — 50+ vector DB integrations.
• Workflows — Event-driven agent workflows (AgentWorkflow).