Skip to main content

A tri-layer memory framework for LLM solutions.

Project description

Grizabella

A tri-layer memory framework for LLM solutions.

Docs License: MIT

Overview

Grizabella is a sophisticated memory layer designed for Large Language Model (LLM) solutions. It provides a unified interface to manage and query data across relational, vector, and graph databases, enabling complex memory and knowledge retrieval for AI applications.

Key Features

  • Tri-layer Storage: Integrates SQLite (relational), LanceDB (vector), and Kuzu (graph) for comprehensive data management.
  • Unified Python API: Offers a simple and consistent Python interface to interact with all three database layers.
  • Complex Query Engine: Allows for sophisticated queries that can span across the different data storage paradigms.
  • PySide6 UI: Includes an optional desktop application for visualizing and managing data.
  • MCP Server: Can operate as a Model Context Protocol (MCP) server, allowing other tools to leverage its memory capabilities.

Quick Links

Quick Installation

For production use (once published):

pip install grizabella

For development:

git clone https://github.com/pwilkin/grizabella.git
cd grizabella
poetry install

Basic Usage Snippet

from grizabella import Grizabella

# Initialize Grizabella (connects to default in-memory databases)
gz = Grizabella()

# Define an object type (implicitly creates a table/node type)
gz.create_object_type("document", {"text": str, "source": str})

# Add an object
doc1 = gz.add_object(
    object_type="document",
    data={"text": "This is the first document.", "source": "manual"},
    vector_data={"text": "This is the first document."} # Data for embedding
)

print(f"Added document with ID: {doc1.id}")

# Further operations (querying, adding relations, etc.) would go here.

Contributing

Contributions are welcome! Please see CONTRIBUTING.md (to be added) for guidelines on how to contribute to Grizabella.

License

Grizabella is licensed under the MIT License. See the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

grizabella-0.1.0b5.tar.gz (133.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

grizabella-0.1.0b5-py3-none-any.whl (163.6 kB view details)

Uploaded Python 3

File details

Details for the file grizabella-0.1.0b5.tar.gz.

File metadata

  • Download URL: grizabella-0.1.0b5.tar.gz
  • Upload date:
  • Size: 133.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.10 Windows/11

File hashes

Hashes for grizabella-0.1.0b5.tar.gz
Algorithm Hash digest
SHA256 773e45ad38f091fb1370edaa0beb77089ae32569cd40ffcd98b466ce8b8168bf
MD5 8aa0a11f23cff2a671f0fb72301f7f32
BLAKE2b-256 1587c1f68fcba3e25ebce277848f35b5beeef2aca1f535e1a204ac1c4b3e84af

See more details on using hashes here.

File details

Details for the file grizabella-0.1.0b5-py3-none-any.whl.

File metadata

  • Download URL: grizabella-0.1.0b5-py3-none-any.whl
  • Upload date:
  • Size: 163.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.10 Windows/11

File hashes

Hashes for grizabella-0.1.0b5-py3-none-any.whl
Algorithm Hash digest
SHA256 e4f5cceb84dba9dba790474ddfd296c9849eb973edb803fa39906b2b10961515
MD5 b5df0d3ef41c55577f18279cfeace6b7
BLAKE2b-256 556e747d1ce7e1120a7a8f994f618b3ffa197cf97961133cbcc011964a0a837e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page