aid: llamaindex
url: https://raw.githubusercontent.com/api-evangelist/llamaindex/refs/heads/main/apis.yml
modified: '2026-04-28'
apis:
  - aid: llamaindex:llamacloud-api
    name: LlamaIndex LlamaCloud API
    tags:
      - Agents
      - Artificial Intelligence
      - Cloud
      - Documents
      - LLM
      - RAG
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    baseURL: https://api.cloud.llamaindex.ai
    humanURL: https://developers.api.llamaindex.ai/
    properties:
      - url: https://developers.api.llamaindex.ai/
        type: Documentation
      - url: openapi/llamaindex-llamacloud-api-openapi.yml
        type: OpenAPI
    description: >-
      The LlamaCloud API is the central REST API for LlamaIndex's cloud platform,
      providing
      programmatic access to managed document processing, indexing, and retrieval
      services. It
      enables developers to build production-grade LLM applications by leveraging
      cloud-hosted
      infrastructure for document ingestion, knowledge management, and agent orchestration.
      The
      API supports authentication via API keys and is available in both US and EU
      regions.
  - aid: llamaindex:llamaparse-api
    name: LlamaIndex LlamaParse API
    tags:
      - Artificial Intelligence
      - Document Parsing
      - LLM
      - OCR
      - PDF
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    baseURL: https://api.cloud.llamaindex.ai
    humanURL: https://developers.llamaindex.ai/python/cloud/llamaparse/api-v2-guide/
    properties:
      - url: https://developers.llamaindex.ai/python/cloud/llamaparse/api-v2-guide/
        type: Documentation
      - url: openapi/llamaindex-llamaparse-api-openapi.yml
        type: OpenAPI
    description: >-
      LlamaParse is a GenAI-native document parsing API that can parse complex document
      data
      for any downstream LLM use case including agents, RAG pipelines, and data processing
      workflows. The v2 API provides two main endpoints for parsing: one for JSON
      requests
      accepting file IDs or URLs, and another for multipart file uploads. It supports
      multiple
      parsing tiers including fast, cost-effective, agentic, and agentic-plus modes,
      and returns
      results asynchronously via job polling.
  - aid: llamaindex:llamaextract-api
    name: LlamaIndex LlamaExtract API
    tags:
      - Artificial Intelligence
      - Data Extraction
      - Documents
      - JSON
      - Structured Data
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    baseURL: https://api.cloud.llamaindex.ai
    humanURL: https://developers.llamaindex.ai/python/cloud/llamaextract/getting_started/api/
    properties:
      - url: https://developers.llamaindex.ai/python/cloud/llamaextract/getting_started/api/
        type: Documentation
      - url: openapi/llamaindex-llamaextract-api-openapi.yml
        type: OpenAPI
    description: >-
      LlamaExtract is a prebuilt agentic data extraction API that transforms unstructured
      document data into structured JSON representations. The REST API allows developers
      to
      create extraction agents, upload documents, and run extraction jobs programmatically.
      Jobs are processed asynchronously, and developers can poll for job status and
      retrieve
      structured results. It is designed for use cases where documents need to be
      converted
      into well-defined schemas for downstream processing.
  - aid: llamaindex:llamacloud-index-api
    name: LlamaIndex LlamaCloud Index API
    tags:
      - Document Ingestion
      - Indexing
      - RAG
      - Retrieval
      - Vector Store
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    baseURL: https://api.cloud.llamaindex.ai
    humanURL: https://developers.llamaindex.ai/python/cloud/llamacloud/guides/api_sdk/
    properties:
      - url: https://developers.llamaindex.ai/python/cloud/llamacloud/guides/api_sdk/
        type: Documentation
      - url: openapi/llamaindex-llamacloud-index-api-openapi.yml
        type: OpenAPI
    description: >-
      The LlamaCloud Index API provides a fully automated document ingestion pipeline
      with
      built-in retrieval capabilities. It allows developers to create and manage indexes,
      upload documents for automatic parsing and embedding, and perform retrieval
      queries
      against indexed content. The API supports customizable pipeline configurations
      and
      integrates with various vector stores, making it suitable for building production
      RAG applications without managing infrastructure.
  - aid: llamaindex:python-framework
    name: LlamaIndex Python Framework
    tags:
      - Agents
      - Framework
      - LLM
      - Open Source
      - Python
      - RAG
      - SDK
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    baseURL: https://api.example.com
    humanURL: https://developers.llamaindex.ai/python/framework/
    properties:
      - url: https://developers.llamaindex.ai/python/framework/
        type: Documentation
    description: >-
      LlamaIndex is an open-source Python framework for building LLM-powered applications
      including agents, RAG pipelines, and custom workflows. It provides data connectors
      for ingesting data from various sources such as APIs, PDFs, databases, and more.
      The framework offers high-level abstractions like query engines, chat engines,
      and agent classes (FunctionAgent, ReActAgent, CodeActAgent), as well as lower-level
      APIs for advanced customization.
  - aid: llamaindex:typescript-framework
    name: LlamaIndex TypeScript Framework
    tags:
      - Agents
      - Framework
      - JavaScript
      - LLM
      - Open Source
      - RAG
      - SDK
      - TypeScript
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    baseURL: https://api.example.com
    humanURL: https://developers.llamaindex.ai/typescript/framework/
    properties:
      - url: https://developers.llamaindex.ai/typescript/framework/
        type: Documentation
    description: >-
      LlamaIndex TypeScript is the JavaScript and TypeScript implementation of the
      LlamaIndex
      framework for building LLM-powered applications. It provides server-side TypeScript
      support for building agents, RAG pipelines, and agentic workflows with the same
      core
      abstractions as the Python framework. The library supports integration with
      LlamaCloud
      services and offers convenient access to cloud APIs for document parsing, extraction,
      and indexing from Node.js environments.
common:
  - type: JSON-LD
    url: json-ld/llamaindex-context.jsonld
  - type: JSONSchema
    url: json-schema/llamaindex-pipeline-schema.json
  - type: JSONSchema
    url: json-schema/llamaindex-extraction-agent-schema.json
  - type: JSONSchema
    url: json-schema/llamaindex-parse-job-schema.json
description: >-
  LlamaCloud is a hosted service for document processing and search, powered by LlamaIndex.