Data & Research · GitHub ·47 ★

dataclysm

Pull high-quality, efficient embeddings for PubMed, arXiv and Wikipedia from Huggingface and use for local LLM inference/Retrieval Augmented Generation (RAG)

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Details

Author
somewheresystems
Category
Data & Research
Platform
GitHub
Framework
custom
Language
jupyter notebook
Stars
47
First indexed
2026-05-15
Last active
2024-02-16
Directory sync
2026-05-15
@somewheresystems

Overview

Pull high-quality, efficient embeddings for PubMed, arXiv and Wikipedia from Huggingface and use for local LLM inference/Retrieval Augmented Generation (RAG)

Quick start

git

git clone https://github.com/somewheresystems/dataclysm

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

What dataclysm can do

inferencedataragembeddingllm
  • Inference — inference task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Llm — llm task automation.

Frequently asked questions

What is dataclysm?
Pull high-quality, efficient embeddings for PubMed, arXiv and Wikipedia from Huggingface and use for local LLM inference/Retrieval Augmented Generation (RAG)
How do I install dataclysm?
Use git: `git clone https://github.com/somewheresystems/dataclysm`. Full setup details on the source page linked above.
Is dataclysm open source?
dataclysm is published on GitHub.
What are alternatives to dataclysm?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for dataclysm is sourced from GitHub, published by somewheresystems.

Last scraped: · First indexed:

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