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.