LlamaIndex
About
AI Agent Frameworks
LlamaIndex provides agentic capabilities through LlamaIndex Workflows and tool-use abstractions that enable LLMs to reason over data, make decisions, and execute multi-step tasks. Developers can build agents that combine retrieval with computation and external tool use for complex data-driven applications.
AI Data Analysis
LlamaIndex enables natural language querying over structured and unstructured data sources, allowing users to ask questions about their data and receive AI-generated answers grounded in the actual content. Its support for SQL, pandas, and knowledge graph indices makes it a powerful tool for AI-assisted data exploration and analysis.
AI MLOps Tools
Through LlamaCloud and its observability integrations, LlamaIndex supports production deployment and management of RAG applications. It provides evaluation tools for measuring retrieval and response quality, tracing integrations for debugging pipelines, and managed services for scaling data ingestion and retrieval in production.
AI Prompt Engineering
LlamaIndex provides prompt management tools and response synthesis strategies that help developers optimize how context is presented to LLMs. Its retrieval and synthesis pipeline offers fine-grained control over prompt construction, including techniques like tree summarization and compact prompting for handling large contexts.
AI RAG Tools
LlamaIndex is one of the leading frameworks specifically designed for building retrieval-augmented generation systems. It provides the complete RAG pipeline from data ingestion through 160+ connectors, advanced chunking strategies, multiple index types, sophisticated retrieval methods, and response synthesis, making it a comprehensive solution for grounding LLMs in custom data.
