RAGStack vs txtai
RAGStack
github.comtxtai
neuml.github.ioSide by side
| Figure | RAGStack | txtai |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Retrieval-Augmented Generation Tools | 7.5 (#21) | 8.3 (#9) |
| Purpose | RAGStack is a curated stack of open-source software for building production-ready retrieval-augmented generation applications. | txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows. |
| Support | The documentation describes enterprise support and SLAs for RAGStack when running in Astra DB. | NeuML offers implementation guidance, development support, and AI consulting, with meetings or email as contact options. |
Plans
In their own words
txtai
txtai is an open-source framework for semantic search, language-model orchestration, and language-model workflows. Its embeddings database brings together sparse and dense vector indexes, graph networks, and relational databases. It supports vector search with SQL, object storage, topic modeling, graph analysis, and multimodal indexing, and can create embeddings from text, documents, audio, images, and video. Pipelines cover prompts, question answering, labeling, transcription, translation, and summarization; workflows combine pipelines with business logic, while agents can coordinate embeddings, pipelines, workflows, and other agents. Web and Model Context Protocol APIs are available, alongside JavaScript, Java, Rust, and Go bindings. txtai can run locally or be deployed on a server, cluster, or serverless environment. Install with pip or use Docker; Python 3.11 or later is supported. The software is free under the Apache 2.0 license. The API is open over HTTP by default, with HTTPS and token authorization options documented.