Skip to main content

Natural language querying for GraphDB using LangGraph agents

Project description

Graphwise Logo

Talk to Your Graph (TTYG)

TTYG is a Python module that enables Natural Language Querying (NLQ) using GraphDB and LangChain Agents. It includes a lightweight GraphDB client and a collection of tools designed for integration with large language model (LLM) agents.

License

Apache-2.0 License. See LICENSE file for details.

Installation

pip install ttyg

Maintainers

Developed and maintained by Graphwise. For issues or feature requests, please open a GitHub issue.

Usage

A sample usage is provided in the Jupyter Notebook, which demonstrates natural language querying using the Star Wars dataset.

Run Jupyter Notebook

Prerequisites

  • Install conda. miniconda will suffice.
  • Install Docker. The documentation is created using Docker version 28.3.3 which bundles Docker Compose. For earlier Docker versions you may need to install Docker Compose separately.

Create and activate the Conda environment

conda create --name ttyg --file conda-linux-64.lock
conda activate ttyg

Install dependencies with Poetry

Depending on the LLM provider you want to use, run one of the following:

poetry install --with llm-openai --with jupyter
# or
poetry install --with llm-anthropic --with jupyter

Run the Notebook

jupyter notebook

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

ttyg-3.0.0.tar.gz (16.4 kB view details)

Uploaded Source

Built Distribution

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

ttyg-3.0.0-py3-none-any.whl (26.1 kB view details)

Uploaded Python 3

File details

Details for the file ttyg-3.0.0.tar.gz.

File metadata

  • Download URL: ttyg-3.0.0.tar.gz
  • Upload date:
  • Size: 16.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.13.10 Linux/6.11.0-1018-azure

File hashes

Hashes for ttyg-3.0.0.tar.gz
Algorithm Hash digest
SHA256 47088a5afb56a6ec188889f4f8542ddeab4791a5bab47be95713fa1ab1996071
MD5 ab0f418b3fec95491fd2a343763ef8ef
BLAKE2b-256 495b3704dee7c98bdc22d96040d70aee80f03fd92e07274d56d4201dcda4242e

See more details on using hashes here.

File details

Details for the file ttyg-3.0.0-py3-none-any.whl.

File metadata

  • Download URL: ttyg-3.0.0-py3-none-any.whl
  • Upload date:
  • Size: 26.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.13.10 Linux/6.11.0-1018-azure

File hashes

Hashes for ttyg-3.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 af0eda1a8195c389a34d4ecf116966411e611e01cf4067a34e21bb5253ea4cc4
MD5 905dde983d7554231871c77299a1e76b
BLAKE2b-256 90512358d393e400271e6fe942b1c9bd67ca09dfdd1b126ed37e1da91166c8d4

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