llamaindex

aid: llamaindex
url: https://raw.githubusercontent.com/api-evangelist/llamaindex/refs/heads/main/apis.yml
modified: '2026-05-19'
apis:
  - aid: llamaindex:llamacloud-api
    name: LlamaIndex LlamaCloud API
    tags:
      - Agents
      - Artificial Intelligence
      - Cloud
      - Documents
      - LLM
      - RAG
    image: https://kinlane-images.s3.amazonaws.com/shared/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-images.s3.amazonaws.com/shared/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-images.s3.amazonaws.com/shared/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-images.s3.amazonaws.com/shared/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-images.s3.amazonaws.com/shared/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-images.s3.amazonaws.com/shared/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: GitHubOrganization
    url: https://github.com/run-llama
  - type: LinkedIn
    url: https://www.linkedin.com/company/llamaindex
  - type: JSONLD
    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
  - type: LLMsTxt
    url: https://developers.llamaindex.ai/llms.txt
description: LlamaCloud is a hosted service for document processing and search, powered by LlamaIndex.