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NeuML / txtai-apps
Model's Last Updated: 2025年11月11日
Introduction of txtai-apps
Model Details of txtai-apps
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
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
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