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NeuML/
txtai-apps

Name: txtai-apps
Availability: InStock

apache-2.0

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TxtAI Applications

This repository hosts a series of example TxtAI applications. Applications are YAML configuration files that automatically build and export a ready-to-use web API.

Install

Run the following to get started

pip install txtai[api]

Applications

List of applications.

RAG: Retrieval Augmented Generation (RAG) with the following configuration.
- Text Extraction with Docling, Chunking, and Indexing of documents. Supports PDF, DOCX, Web, XLSX files and more.
- Vector database with embeddings generation
- gpt-oss-20B LLM
- RAG pipeline that joins vector search with the LLM
Translation: Translates input text to the target language of choice. Automatically detects input language and selects best translation model.

Start an application

Pick a file, download it and run the following.

CONFIG=rag.yml uvicorn "txtai.api:app"

Sample actions

Index the TxtAI website

# Pick any PDF, XLSX, DOCX etc
curl -X POST "http://localhost:8000/workflow" -H  "Content-Type: application/json" -d '{"name":"index","elements":["https://github.com/neuml/txtai"]}'

Run a RAG search

curl -N "http://localhost:8000/rag?query=List+txtai+strengths&maxlength=2048&stripthink=True&stream=True"

Use the language or library of choice to interact with the API. TxtAI also provides a series of client libraries for JavaScript, Java, Rust and Go.

Run with Docker

If you don't want to install TxtAI, these applications can instead be run with TxtAI's Docker Image.

docker run -it -p 8000:8000 -v /tmp/config:/config -e CONFIG=rag.yml --entrypoint uvicorn neuml/txtai-gpu --host 0.0.0.0 txtai.api:app

NeuML/txtai-apps