When should I use LlamaIndex vs LangChain?

LlamaIndex for data-centric applications (RAG, document Q&A). LangChain for complex orchestration (multi-step agents, complex chains). They can be used together - LlamaIndex for retrieval, LangChain for orchestration.

What data sources does LlamaIndex support?

Over 100 connectors: PDFs, Word docs, web pages, databases (SQL, MongoDB), APIs, Slack, Notion, Google Docs, and more. Custom loaders can be created for other sources.

How does LlamaIndex handle large documents?

Automatic chunking with configurable strategies. Supports hierarchical indexing for very large corpora. Metadata filtering helps scale to millions of documents.

Is LlamaIndex free to use?

Yes, LlamaIndex is open source (MIT license). You pay for: the LLM API calls (OpenAI, etc.), vector database hosting if needed, and optional LlamaCloud services for managed infrastructure.

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LlamaIndex

A data framework for building LLM applications, specialising in connecting custom data to language models. Excellent for RAG applications.

In-Depth Explanation

LlamaIndex (formerly GPT Index) is a framework focused on connecting custom data to large language models. It specialises in data ingestion, indexing, and retrieval - the core challenges of RAG systems.

LlamaIndex components:

Data connectors: Ingest from 100+ sources (PDFs, databases, APIs)
Data indexes: Various indexing strategies (vector, tree, keyword)
Query engines: Different retrieval approaches
Response synthesizers: Combine retrieved context with LLM generation
Agents: Tool-using agents with data access

Key features:

Multiple index types for different data structures
Sophisticated chunking strategies
Metadata filtering and hybrid search
Cost-effective with smaller models
Integration with major LLM providers

Common use cases:

Document Q&A systems
Knowledge base chatbots
Data-augmented agents
Structured data querying

Business Context

LlamaIndex simplifies RAG development with built-in data loaders, indexing strategies, and query engines.

How Clever Ops Uses This

LlamaIndex is often our go-to for RAG implementations for Australian businesses. Its data handling capabilities make connecting AI to business data straightforward.