{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/16"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Python client library for the Needle API, enabling document indexing, collection management, and semantic search to power retrieval-augmented generation (RAG) pipelines.","skillfed_tags":["rag","semantic-search","document-indexing"],"use_cases":["Build a RAG system that indexes PDFs or web documents and retrieves relevant passages to answer user questions grounded in those documents.","Create a knowledge base where users can upload files to a collection and search across them semantically without writing custom indexing logic.","Prototype LLM applications that need to augment prompts with real document context, reducing hallucination by grounding answers in indexed material.","Integrate document search into an existing Python application without managing your own vector database or embedding infrastructure."],"what_it_does":"needle-python is a client library that wraps the Needle API, a service for indexing documents and performing semantic search. It abstracts the REST API into Python objects and methods, allowing you to create collections, upload files (from URLs), wait for indexing, and retrieve semantically relevant context from your documents. The library is designed to integrate into RAG pipelines\u2014you use it to extract relevant passages from your indexed documents, then feed those passages as context to an LLM (like OpenAI's GPT) to generate grounded answers.\n\nThe library depends only on requests for HTTP communication and supports Python 3.8 through 3.13. It reads your Needle API key from the NEEDLE_API_KEY environment variable by default, though you can pass it explicitly. The fact sheet shows the library is in Beta status, with modest but stable maintenance; it has not been updated recently but has no known vulnerabilities and a permissive MIT license.","worth_installing":"Yes, if you need semantic search and document indexing for a RAG pipeline and prefer a managed service over self-hosted infrastructure. The library is straightforward to use, has low install friction, and carries no security vulnerabilities. However, the aging maintenance status (no updates in months) and modest adoption (45 repository stars) suggest you should verify that Needle's API remains actively supported before committing to production use. Suitable for prototyping and moderate-scale applications; evaluate alternatives if you need active development or extensive customization."},"id":"needle-python","links":{"html":"https://skillfed.io/packages/needle-python","md":"https://skillfed.io/packages/needle-python.md","pypi":"https://pypi.org/project/needle-python/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-07-27","license_spdx":null,"license_treatment":"permissive","name":"needle-python","python_support":"supports_current","summary":"Needle client library for Python"},"popularity":{"monthly_downloads":174175,"position":10287,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6.0"}