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  4. LlamaIndex API
published AI Powered

LlamaIndex API

The LlamaIndex API provides a free framework for developers focused on building intelligent search applications and data processing workflows with advanced AI capabilities.

Developed by LlamaIndex Inc.

Live API
99.90%Uptime
300msLatency
1.8kStars
API KeyAuth
NoCredit Card
RESTStyle
v1Version

Reference

API Endpoints

Endpoints

Available routes, request structures, and code examples.

Queries knowledge base using natural language

Endpoint URL
https://api.llamaindex.ai/query
Code Example
curl -X POST 'https://api.llamaindex.ai/query' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "query": "What's the capital of Australia?",
  "knowledge_base": "geography"
}
Expected Response
{
  "answer": "The capital of Australia is Canberra",
  "sources": [
    "https://en.wikipedia.org/wiki/Canberra"
  ],
  "confidence": 0.92
}
Version:v1
Limit:100 queries/hour

Integration

Quick Start

cURL ExampleREST
curl -X GET "https://api.llamaindex.ai/api/v1/parse_document"

Docs

Technical Documentation

What this API does

The LlamaIndex API is an open-source RAG framework that allows developers to efficiently manage and retrieve data from various document types. It supports advanced parsing and indexing functions, making it suitable for applications that require engaging with extensive collections of documents such as PDFs, images, and text files.

How it works

The API utilizes embedding-based indexing techniques combined with semantic search capabilities to ensure relevant and context-aware results. Developers can send requests to the API to parse documents, index them, and then retrieve results based on user queries. Integrations can be done quickly using the provided Python and TypeScript SDKs.

Authentication

Authentication is performed using API keys, which developers can obtain upon registration. This ensures secure access to the LlamaIndex API endpoints. All requests must include the API key in the headers to authenticate successfully.

Example usage

  • /documents/parse - Upload and parse a document for indexing.
  • /documents/search - Query the indexed documents to find relevant results based on search terms.

Limits

The LlamaIndex API offers 10,000 free credits per month. Usage beyond these limits will need to be evaluated based on specific needs and subscription plans. The exact rate limitations for queries are not specified.

Ideal use cases

  • Creating enterprise-level document search systems for organizations.
  • Developing AI chatbots capable of answering questions based on large datasets.
  • Implementing automated data workflows that require document parsing and integration.

Examples

Real-World Applications

  • Implementing intelligent document search systems for enterprise applications.
  • Automating data processing workflows for large-scale datasets.
  • Creating AI-powered chatbots that need to access proprietary data.
  • Building applications requiring advanced search capabilities over diverse data formats.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Supports over 160 large language model integrations for flexible AI workflows.
  • ✓ Provides 10,000 free credits monthly to kickstart development.
  • ✓ Offers easy-to-use Python and TypeScript SDKs for quick integration.
  • ✓ Embeddings and semantic search ensure highly relevant query results.
Limitations
  • ✗ No detailed public rate limit documentation, requiring manual monitoring.
  • ✗ Free tier credits might be insufficient for very large-scale usage.
  • ✗ Limited official SDK language support beyond Python and TypeScript currently.
  • ✗ Complex document types may need preprocessing before ingestion.

Support

Frequently Asked Questions

Important Notice

Verify Before You Decide

Last verified · Apr 30, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Documentation Official Website Pricing Details Postman Collection

API Specifications

v1
Pricing Model
Credit-based with pay-as-you-go options
Credit Card
Not Required
Response Formats
JSON
Supported Languages
5 Languages
SDK Support
Python, TypeScript
Rate Limit

1000 requests per minute

Time to Hello World

Minutes to a few hours depending on integration complexity.

Free Tier

10,000 free credits per month with access to all core features and SDKs.

Best For

Developers building AI-powered document search, enterprise data indexing, and chatbot applications.

Not Ideal For

Projects requiring guaranteed high-volume enterprise SLAs without prior consultation.

Tags

#document-qa#llamaindex#typescript#python#Rag#data-framework#llm#semantic-search#ai#open-source

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