serviette

Serviette is a RAG server based on the Pathway Live Data Framework, which does not require code and is continuously synchronized with documents. A document folder, a vector database, and a embedding model are selected in a single YAML file; the source-showing chat interface and REST API are obtained. The old llm-app templates are no longer kept in this repository, but under the examples/llm-app in the Pathway repository.

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pathwaycom · AI / LLM / RAG

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PythonRAG ServerVector DatabaseNo-CodeMIT

Common commercial products in this category: ChatGPT, Claude, Gemini

What can it do?
  • You run REST API with a chat interface that answers questions and shows resources based on documents in a folder.
  • You configure the document indexing process by selecting a vector database and buryer via the YAML file.
  • By scaling independent indexer and stateless server processes separately horizontally, you can distinguish between the heavy query and batch indexing load.
Heads up
  • • No published release
User reviews
  • • NeutralGitHub Issue

    Local App Variant not Responding to post request

    “Logs don't show any activity. Contexfull works as expected”

  • ↓ NegativeGitHub Issue

    Potential security issue

    “Hello 👋 I run a security community that finds and fixes vulnerabilities in OSS. A researcher (@m0kr4n3) has found a potential issue, which I would be eager to share with you. Could you add a `SECURITY.md` file with an e-mail address for me to send further details to? GitHub…”

Verified against README · Oct 26, 2026 · source

My note

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