LlamaIndex
ELI5 — The Vibe Check
LlamaIndex is a framework that makes it easy to connect your AI to your data. Got a bunch of PDFs, databases, APIs, and Notion pages? LlamaIndex helps you index all of it and then query it with natural language. It's the data layer for RAG applications. While LangChain is the general AI framework, LlamaIndex is specifically obsessed with doing retrieval really, really well.
Real Talk
LlamaIndex is a data framework for LLM applications that provides tools for data ingestion, indexing, and retrieval. It supports 160+ data connectors (files, databases, APIs, SaaS tools), multiple index types (vector, keyword, knowledge graph), and advanced retrieval strategies (hybrid search, query decomposition, re-ranking). It's optimized for building production RAG systems.
When You'll Hear This
"LlamaIndex handles our document ingestion and retrieval pipeline." / "We use LlamaIndex for the knowledge base and LangChain for the agent logic."
Related Terms
Embedding
An embedding is turning words, sentences, or entire documents into lists of numbers (vectors) that capture their meaning.
LangChain
LangChain is a framework for building AI applications that need to do more than just chat.
RAG (Retrieval Augmented Generation)
RAG is how you give an AI access to your private documents without retraining it.
Semantic Search
Semantic search finds results based on meaning, not just keyword matching.
Vector Database
A vector database is a special database built to store and search embeddings.