{"library":"llama-index-vector-stores-postgres","type":"library","category":null,"description":"The `llama-index-vector-stores-postgres` library provides an integration for LlamaIndex, allowing users to leverage PostgreSQL with the `pgvector` extension as a robust and scalable vector store. It is currently at version 0.8.1 and follows LlamaIndex's active development and frequent release cadence, especially for integration packages.","language":"python","status":"active","version":"0.8.1","tags":["LlamaIndex","vector store","PostgreSQL","pgvector","LLM","embedding","database"],"last_verified":"Sat May 23","install":[{"cmd":"pip install llama-index-vector-stores-postgres llama-index psycopg2-binary","imports":["from llama_index.vector_stores.postgres import PGVectorStore","from llama_index.core import VectorStoreIndex","from llama_index.core import SimpleDirectoryReader","from llama_index.core import StorageContext"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/llama-index-vector-stores-postgres/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":23.1,"avg_import_s":5.63,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/llama-index-vector-stores-postgres/compatibility"}}