AI Infrastructure · PyPI

sparql-llm

Reusable components and complete chat system to improve Large Language Models (LLMs) capabilities when generating SPARQL queries for a given set of endpoints, using Retrieval-Augmented Generation (RAG) and SPARQL query validation from the endpoint schema.

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Details

Author
Vincent Emonet
GitHub profile
@sib-swiss
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/sib-swiss/sparql-llm
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@sib-swiss

Overview

Reusable components and complete chat system to improve Large Language Models (LLMs) capabilities when generating SPARQL queries for a given set of endpoints, using Retrieval-Augmented Generation (RAG) and SPARQL query validation from the endpoint schema.

Quick start

pip

pip install sparql-llm

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What sparql-llm can do

llmchatragretrievalchatbot
  • Llm — llm task automation.
  • Chat — Holds free-form conversations with users.
  • Rag — Retrieves grounded context before answering.
  • Retrieval — retrieval task automation.
  • Chatbot — Answers user questions in a chat interface.

Frequently asked questions

What is sparql-llm?
Reusable components and complete chat system to improve Large Language Models (LLMs) capabilities when generating SPARQL queries for a given set of endpoints, using Retrieval-Augmented Generation (RAG) and SPARQL query validation from the endpoint schema.
How do I install sparql-llm?
Use pip: `pip install sparql-llm`. Full setup details on the source page linked above.
Is sparql-llm open source?
sparql-llm is published on PyPI.
What are alternatives to sparql-llm?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for sparql-llm is sourced from PyPI, published by Vincent Emonet.

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