Yes, they can be easily integrated. You can use LlamaIndex for advanced document indexing and retrieval, and pass it as a tool to a LangChain agent.
LlamaIndex vs LangChain
Compare data-indexing search tools with general agent workflow orchestration libraries.
Architecture Decision
Architecture Decision
LlamaIndex vs. LangChain
Choosing the right library for RAG search, document indexing, and multi-agent workflow pipelines.
Option A
LlamaIndex
Core Focus
Highly optimized for data ingestion, indexing, and structuring query search (perfect for clean search).
Usability
Extremely simple out-of-the-box setup for standard document query setups.
Verdict
Best for search engines, question-answering over custom PDFs/docs, and heavy retrieval-focused apps.
Option B
LangChain
Core Focus
A general-purpose framework designed for modular chains, memory, tools, and autonomous agents.
Usability
Extremely flexible but requires writing more boilerplate code to set up chains.
Verdict
Best for complex conversational agents, action-taking systems, and building custom multi-agent structures.
Quick Answers
Quick Answers