Glossary · AI & Agents
LlamaIndex
Overview
What LlamaIndex does
LlamaIndex focuses on the data side of AI applications. It provides connectors and loaders to ingest content from PDFs, documents, websites, and databases, then splits it into chunks, turns those chunks into embeddings, and builds indexes for fast retrieval. Query engines and retrievers pull the most relevant pieces at question time, integrating with vector stores like Pinecone and pgvector and models like OpenAI.
LlamaIndex vs LangChain
LlamaIndex specializes in indexing and retrieving your data for retrieval-augmented generation, while LangChain is a broader framework for orchestrating chains, tools, and agents. They are complementary rather than competing: many teams use LlamaIndex for the retrieval layer inside a larger LangChain application, and add LangSmith for monitoring.
How it fits business projects
LlamaIndex is a natural fit for internal knowledge assistants that answer questions from a company's own documents. Our team uses it in RAG Development, Knowledge Assistant (RAG), AI Chatbots, and Customer Service AI projects, connecting private content to a model so staff and customers get accurate, sourced answers instead of generic responses.
Where we use it
Related Zen in Tech services
How our team puts LlamaIndex to work in real projects.
FAQ
LlamaIndex — common questions
What is LlamaIndex used for?
LlamaIndex is used to connect large language models to your own data for RAG and question-answering. It handles loading, chunking, embedding, indexing, and retrieving documents, making it well suited to knowledge assistants and internal search over private content.
LlamaIndex vs LangChain, which is better for RAG?
LlamaIndex is purpose-built for the data ingestion and retrieval at the heart of RAG, so it often provides a more direct path for document-heavy use cases. LangChain offers broader orchestration, and the two are frequently combined.
Is LlamaIndex free?
Yes, LlamaIndex is open-source and free to use. The company also offers LlamaCloud, a paid managed service for parsing, indexing, and hosting at scale, with its own pricing tiers.
Keep exploring
Related terms
Need LlamaIndex done right?
Book a free consultation and we’ll map the fastest, most cost-effective path for your project.
Knowledge hub
From our knowledge hub
All articles →How to Reduce AI Voice Agent Latency
How to cut AI voice agent latency to sub-second, human-like turn-taking: where lag comes from (STT, LLM, TTS, network) and the fixes that actually work.
Read · 7 min →AI AutomationAutomating Lead Follow-Up and Onboarding for Coaches and Agencies
Follow-up automation for coaches and agencies: respond to leads in minutes, qualify prospects before calls, and automate onboarding so you focus on clients.
Read · 6 min →AI AutomationAI Automation for Enrollment Inquiries: Answer Every Family Fast
Slow replies lose enrollments. See how AI chatbots and automated follow-up answer every inquiry fast, day or night, and hand warm leads to your team.
Read · 6 min →