llama-index-storage-docstore-postgres
llama-index docstore postgres integration
Decision gist · record as of 2026-08-14
Yes, if you are building a LlamaIndex application that needs persistent document storage and already use or plan to use Postgres. Low install friction, active maintenance, MIT license, and no known vulnerabilities make it a straightforward choice for this use case. Not relevant if you don't use LlamaIndex or prefer a different storage backend.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a running Postgres instance and valid connection credentials; Python 3.10 or later.
- Low install friction with two runtime dependencies.
- Active maintenance status as of March 2026.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-03-12 (155 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 147,147 downloads/mo, #11,078 on PyPI
Alternatives
Verify before relying
pip install llama-index-storage-docstore-postgres
from llama_index.storage.docstore.postgres import PostgresDocumentStore
docstore = PostgresDocumentStore.from_uri(connection_string="postgresql://user:password@localhost/dbname")- Whether this package requires a running Postgres instance or handles connection setup automatically
- Performance characteristics and scalability limits for document storage and retrieval
- Whether it supports document indexing or only basic storage/retrieval operations
What it is and what it does
This package integrates Postgres as a persistent backend for LlamaIndex's document store, allowing you to store and retrieve documents outside of memory. It sits between your LlamaIndex application and a Postgres database, handling the serialization and query logic needed to persist documents across sessions.
You use it by configuring it as the docstore backend in a LlamaIndex application. It depends on llama-index-core for the core framework and llama-index-storage-kvstore-postgres for the underlying key-value storage layer that manages the actual Postgres connection and operations.
Use it for
- Store documents indexed by LlamaIndex in a persistent Postgres database for long-running applications
- Build RAG systems that need to retain document collections across application restarts
- Share a common document store across multiple LlamaIndex instances via a shared Postgres backend
- Integrate LlamaIndex document management with existing Postgres-based infrastructure
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building a LlamaIndex application that needs persistent document storage and already use or plan to use Postgres.
Low install friction, active maintenance, MIT license, and no known vulnerabilities make it a straightforward choice for this use case. Not relevant if you don't use LlamaIndex or prefer a different storage backend.
Install
llama-index-storage-docstore-postgres on PyPI
Before you install
Low install friction with two runtime dependencies. Active maintenance status as of March 2026. No known vulnerabilities.
Requires a running Postgres instance and valid connection credentials; Python 3.10 or later.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install llama-index-storage-docstore-postgres
from llama_index.storage.docstore.postgres import PostgresDocumentStore
docstore = PostgresDocumentStore.from_uri(connection_string="postgresql://user:password@localhost/dbname")Verify before relying
- Whether this package requires a running Postgres instance or handles connection setup automatically
- Performance characteristics and scalability limits for document storage and retrieval
- Whether it supports document indexing or only basic storage/retrieval operations
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesllama-index-corellama-index-storage-kvstore-postgres |
| Maintenance | Actively maintained 155 days since the last release |
| First released | |
| Downloads | 147,147 / month, #11,078 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: llama_index_storage_docstore_postgres-0.5.0-py3-none-any.whl
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See also llama-index-storage-kvstore-postgres · llama-index-vector-stores-chroma · llama-index-vector-stores-qdrant · llama-index-vector-stores-redis · llama-index-vector-stores-faiss · llama-index-vector-stores-lancedb · llama-index-vector-stores-pinecone · llama-index-vector-stores-postgres · llama-index-vector-stores-milvus · ciris-persist