{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/6"},{"label":"Database","url":"https://skillfed.io/packages/category/database/3"},{"label":"Front-Ends","url":"https://skillfed.io/packages/category/database-front-ends"}],"enrichment":{"capability":"Python client for Upstash Vector, a serverless vector database\u2014upserts and queries vectors with optional metadata and data fields, supporting dense, sparse, and hybrid index types.","skillfed_tags":["vector-search","serverless","embeddings"],"use_cases":["Store and retrieve embeddings from language models for semantic search applications.","Build recommendation systems by querying similar vectors based on user or item embeddings.","Implement metadata-filtered vector search to narrow results by categorical or structured fields.","Use with embedding models to automatically vectorize and store raw text data without manual embedding.","Prototype vector-based features without provisioning and managing a dedicated vector database."],"what_it_does":"Upstash Vector is a Python client for Upstash's serverless vector database service. It provides a REST-based interface to store and query vectors without managing your own infrastructure. The package handles three index types\u2014dense (traditional embeddings), sparse (keyword-based), and hybrid (combining both)\u2014and supports optional metadata filtering and associated data fields.\n\nYou initialize an Index with credentials from the Upstash console, then call upsert() to insert or update vectors and query() to find similar vectors by similarity score. The client abstracts away HTTP details via httpx and supports multiple input formats (tuples, dicts, or Vector objects). It is classified as Alpha in development status but marked GA by Upstash and backed by their professional support.","worth_installing":"Yes, if you are already using Upstash Vector or committed to a serverless vector database architecture. The package is straightforward, has low install friction, and is backed by professional support. However, the aging maintenance status (533 days since last release) and Alpha classification warrant caution for mission-critical production systems; verify that your use case aligns with Upstash's roadmap and support commitments."},"id":"upstash-vector","links":{"html":"https://skillfed.io/packages/upstash-vector","md":"https://skillfed.io/packages/upstash-vector.md","pypi":"https://pypi.org/project/upstash-vector/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-02-27","license_spdx":null,"license_treatment":"permissive","name":"upstash-vector","python_support":"supports_current","summary":"Serverless Vector SDK from Upstash"},"popularity":{"monthly_downloads":354304,"position":7296,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.8.0"}