LlamaIndex Has a Free API — Connect LLMs to Your Data

LlamaIndex is a data framework for LLM applications. It handles ingesting, indexing, and querying your data with LLMs — the easiest way to build RAG. What Is LlamaIndex? LlamaIndex connects LLMs to your data sources. Load documents, build an index, query with natural language. Features: 160+ data connectors (PDF, Notion, Slack, databases) Multiple index types (vector, keyword, knowledge graph) Built-in RAG pipeline Agents and tools Streaming support Quick Start pip install llama-index 5-Line RAG from llama_index.core import VectorStoreIndex , SimpleDirectoryReader # Load documents documents = SimpleDirectoryReader ( " data " ). load_data () # Build index index = VectorStoreIndex . from_documents ( documents ) # Query query_engine = index . as_query_engine () response = query_engine . query ( " What is the refund policy? " ) print ( response ) Advanced: Custom Pipeline from llama_index.core import VectorStoreIndex from llama_index.readers.web import SimpleWebPageReader from llama_index.