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.
Example Use Case
"Using LlamaIndex to build a chatbot that answers questions about your documentation, with automatic chunking and retrieval."