{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/4"}],"enrichment":{"capability":"Provides a PostgreSQL-backed key-value store integration for LlamaIndex, enabling persistent storage of indexed data and embeddings using a relational database backend.","skillfed_tags":["llama-index-integration","vector-storage"],"use_cases":["Store and retrieve embeddings and indexed documents in PostgreSQL for production LlamaIndex applications","Share indexed data across multiple LlamaIndex workers or services via a central PostgreSQL database","Persist LlamaIndex caches and metadata durably across application restarts without rebuilding indexes","Integrate LlamaIndex with existing PostgreSQL infrastructure in enterprise environments"],"what_it_does":"This package is a storage adapter that connects LlamaIndex to PostgreSQL, allowing you to persist key-value data (such as indexed documents and embeddings) in a relational database instead of memory or local files. It bridges LlamaIndex's kvstore abstraction layer with PostgreSQL, using asyncpg for async operations and psycopg2-binary for synchronous access.\n\nTypically used when building LlamaIndex applications that need durable, queryable storage across application restarts or when sharing indexed data across multiple processes. The package handles the schema and connection logic, so you interact with it through LlamaIndex's standard kvstore interface rather than writing SQL directly.","worth_installing":"Yes, if you are building a LlamaIndex application that requires persistent storage and already use or plan to use PostgreSQL. The low install friction, permissive license, and active maintenance make it a straightforward choice for that use case. Not necessary if you are prototyping with in-memory storage or using a different kvstore backend."},"id":"llama-index-storage-kvstore-postgres","links":{"html":"https://skillfed.io/packages/llama-index-storage-kvstore-postgres","md":"https://skillfed.io/packages/llama-index-storage-kvstore-postgres.md","pypi":"https://pypi.org/project/llama-index-storage-kvstore-postgres/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-12","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-storage-kvstore-postgres","python_support":"supports_current","summary":"llama-index kvstore postgres integration"},"popularity":{"monthly_downloads":151031,"position":10946,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.0"}