Features

  • Data ingestion and indexing from documents, databases, APIs and files
  • RAG pipelines that ground LLM responses in real data
  • Query engines and retrievers optimized for LLM use
  • Tools for building knowledge assistants and chatbots
  • Integration with vector databases and LLM providers
  • Python and JavaScript SDKs
  • Open-source framework installed via pip or npm

Pricing Details

💰 Pricing Model: Free / Open-source (framework) 🆓 Free Plan Details: • Fully open-source and free to use • Community-supported development • Suitable for prototypes and production systems 💳 Paid Plan Details: • No paid plan for the core framework • Optional paid services via LlamaIndex Cloud (indexing, observability, scaling)