Progress Agentic RAG vs txtai
Progress Agentic RAG
progress.comtxtai
neuml.github.ioSide by side
| Figure | Progress Agentic RAG | txtai |
|---|---|---|
| Price from | $700/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Retrieval-Augmented Generation Tools | 7.9 (#14) | 8.3 (#9) |
| Deployment | Deployment options include Progress-managed cloud in Europe or the USA and hybrid processing in the cloud with storage in the customer's local NucliaDB instance. | txtai API instances and workflows can run locally, on a server, on a cluster, or serverless; documented serverless options include AWS Lambda, Google Cloud Functions, Azure Cloud Functions, and Kubernetes with Knative. |
| Integrations | Retrieval agents can query knowledge boxes, SQL databases, internet search services, and MCP servers in one response. | The documentation describes agent support for Hugging Face and llama.cpp models, and OpenAI, Claude, and AWS Bedrock through LiteLLM. |
| Purpose | Progress Agentic RAG provides a centralized agentic knowledge layer connecting enterprise content to AI experiences. | txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows. |
| Security | The product page states that the platform supports permission-aware retrieval, role-based access controls, and end-to-end audit logging. | The API is open over HTTP by default; the documentation describes HTTPS options, API-token authorization, and a safeopen option enabled by default for API and application runs. |
| Support | Starter includes community support, Pro includes community support plus ZenDesk, and Enterprise includes a private Slack channel plus Zendesk. | NeuML offers implementation guidance, development support, and AI consulting, with meetings or email as contact options. |
Plans
Progress Agentic RAG
- Starter$700 a month
- Pro$1,925 a month
- EnterprisePriced on request
In their own words
Progress Agentic RAG
Progress Agentic RAG has no write-up on Specifiction yet; its figures are above.
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.