{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/4"}],"enrichment":{"capability":"Client library for the Aurelio Platform that provides APIs for document extraction from files and URLs, text chunking, and embeddings, with both synchronous and asynchronous interfaces.","skillfed_tags":["document-extraction","embeddings","async-http"],"use_cases":["Extract text from PDF documents and video files for indexing into a vector database or search system.","Chunk long documents into semantic segments for use in retrieval-augmented generation (RAG) pipelines.","Generate embeddings for text snippets to power similarity search or clustering tasks.","Batch process multiple files or URLs with configurable quality/speed tradeoffs and async polling.","Integrate document extraction into a data ingestion pipeline with environment-based API key management."],"what_it_does":"Aurelio SDK is a Python client for the Aurelio Platform, a document processing service. It wraps HTTP APIs for extracting text from PDFs and videos (from local files or URLs), chunking text into semantic segments, and generating embeddings. The package provides both synchronous and asynchronous clients built on aiohttp, requests, and Pydantic, with support for configurable extraction quality, chunking strategies, and polling for long-running tasks.\n\nTypical workflows involve initializing a client with an API key, submitting documents for extraction with optional chunking, polling for completion, and retrieving structured responses. The library handles file uploads via requests-toolbelt and environment variable configuration via python-dotenv. It's designed for integration into data pipelines, RAG systems, or document processing workflows that need reliable text extraction and semantic chunking.","worth_installing":"Yes, if you need document extraction and chunking from the Aurelio Platform. Install friction is low and the API is well-documented. However, the aging maintenance status (508 days since last release) and unclear license warrant caution: verify license compliance and confirm the platform meets your availability and cost requirements before committing to production use."},"id":"aurelio-sdk","links":{"html":"https://skillfed.io/packages/aurelio-sdk","md":"https://skillfed.io/packages/aurelio-sdk.md","pypi":"https://pypi.org/project/aurelio-sdk/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-03-24","license_spdx":null,"license_treatment":"unclear","name":"aurelio-sdk","python_support":"supports_current","summary":"Aurelio Platform SDK"},"popularity":{"monthly_downloads":417594,"position":6815,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.19"}