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txtai

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot13k stars

826 forks · 23 contributors

Official first step Read manual preview Source repository

Preview status · 2026-05-16

What is txtai?

The central innovation of txtai is its embeddings database - a hybrid data store that unifies:
Best fit: Users who want source-backed project understanding before installing it.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
Evidence base: https://github.com/neuml/txtai, https://github.com/neuml/txtai, https://github.com/neuml/txtai#readme
Preview pages are noindex until English quality, canonical, and citation gates pass.
txtai still needs sandbox verification before production use.

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Repositoryneuml/txtai

13k stars · 826 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction to txtai

Related topics: System Architecture, Getting Started

Sources: [setup.py:18-30]()

Getting Started

System Architecture

Related topics: Embeddings Database, Database Integration

Sources: [README.md](https://github.com/neuml/txtai/blob/main/README.md)

Embeddings Database

Related topics: System Architecture, Scoring and Retrieval Algorithms

Sources: [README.md](https://github.com/neuml/txtai/blob/main/README.md)

Pipelines

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars13k stars

Forks826 forks

Contributors23 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using txtai with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Add LiteRT-LM LLM
github / github_issue
02
Zero dependency minimal install
github / github_issue
03
Reduce dependencies to just `numpy` for minimal install
github / github_issue
04
Make `transformers` package optional for minimal install
github / github_issue
05
Add minimal Docker build script
github / github_issue
06
Add `txtai_minimal` package
github / github_issue
07
Various training pipeline fixes for v5
github / github_issue
08
Add custom Questions pipeline implementation
github / github_issue
09
Add custom Sequences pipeline implementation
github / github_issue
10
Add custom Summary pipeline implementation
github / github_issue
11
Add custom Captions implementation
github / github_issue
12
Support minimal install for edge devices
github / github_issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install txtai

Official start command · https://github.com/neuml/txtai#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

txtai Manual

The central innovation of txtai is its embeddings database - a hybrid data store that unifies:

Open the full manual

txtai Human Manual
Table of Contents
Introduction to txtai
Related Pages
Overview
Architecture
Core Components
Key Features

Introduction to txtai

Related topics: System Architecture, Getting Started

Sources: [setup.py:18-30]()

Getting Started

System Architecture

Related topics: Embeddings Database, Database Integration

Sources: [README.md](https://github.com/neuml/txtai/blob/main/README.md)

Embeddings Database

Related topics: System Architecture, Scoring and Retrieval Algorithms

Sources: [README.md](https://github.com/neuml/txtai/blob/main/README.md)

Pipelines

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start ManifestPROJECT_PACK.json

Preflight checks

Treat this preview as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
The preview remains noindex until English quality and reciprocal indexing gates are explicitly opened.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.