LlamaIndex - Build AI Knowledge Assistants over your enterprise data

LlamaIndex is a powerful framework designed to build context-augmented LLM applications. It provides a flexible and efficient way to connect unstructured data with large language models (LLMs), enabling the creation of advanced knowledge assistants and AI agents. Trusted by startups and enterprises, LlamaIndex offers a comprehensive set of tools to streamline the development process and enhance productivity.

Data Connectors

Ingest data from various sources such as APIs, PDFs, SQL databases, and more. These connectors facilitate the integration of existing data into LlamaIndex.

Data Indexes

Structure data into intermediate representations that are optimized for LLM consumption. This includes vector store indexes, keyword table indexes, tree indexes, and more.

Query Engines

Provide natural language access to your data through powerful interfaces for question-answering and conversational interactions. LlamaIndex supports multiple query modes, including similarity search and QA.

Agents

LLM-powered knowledge workers that can perform a range of tasks, from simple helper functions to complex API integrations. Agents can automate search, retrieval, and data processing.

Observability and Evaluation

Integrate with tools for rigorous experimentation, evaluation, and monitoring of your applications. This ensures continuous improvement and optimization.

Workflows

Combine data connectors, indexes, query engines, and agents into event-driven systems. This flexibility allows for the creation of complex, multi-step workflows.