Installation

The easiest way to install is via pip and PyPI

pip install txtai

Python 3.8+ is supported. Using a Python virtual environment is recommended.

Optional dependencies

txtai has the following optional dependencies that can be installed as extras. The patterns below are supported in setup.py install_requires sections.

Note: Extras are provided for convenience. Alternatively, individual packages can be installed to limit dependencies.

All

Install all dependencies.

pip install txtai[all]

API

Serve txtai via a web API.

pip install txtai[api]

Cloud

Interface with cloud compute.

pip install txtai[cloud]

Console

Command line index query console.

pip install txtai[console]

Database

Additional content storage options.

pip install txtai[database]

Graph

Topic modeling, data connectivity and network analysis.

pip install txtai[graph]

Model

Additional non-standard models.

pip install txtai[model]

Pipeline

All pipelines - default install comes with most common pipelines.

pip install txtai[pipeline]

More granular extras are available for pipeline categories: pipeline-audio, pipeline-data, pipeline-image, pipeline-llm, pipeline-text, and pipeline-train.

Similarity

Word vectors, support for sentence-transformers models not on the HF Hub and additional ANN libraries.

pip install txtai[similarity]

Workflow

All workflow tasks - default install comes with most common workflow tasks.

pip install txtai[workflow]

Combining dependencies

Multiple dependencies can be specified at the same time.

pip install txtai[pipeline,workflow]

Environment specific prerequisites

Additional environment specific prerequisites are below.

Linux

Optional audio transcription requires a system library to be installed

macOS

Older versions of Faiss have a runtime dependency on libomp for macOS. Run brew install libomp in this case.

Windows

Optional dependencies require C++ Build Tools

The txtai build workflow occasionally has work arounds for other known but temporary dependency issues. The FAQ also has a list of common problems, including common installation issues.

Install from source

txtai can also be installed directly from GitHub to access the latest, unreleased features.

pip install git+https://github.com/neuml/txtai

Extras can be installed from GitHub by adding #egg=txtai[<name-of-extra>] to the end of the above URL.

Conda

A community-supported txtai package is available via conda-forge.

conda install -c conda-forge txtai

Run with containers

Docker images are available for txtai. See this section for more information on container-based installs.