supertank
CommunityTurn research into a fast searchable base.
AuthorcrycriM
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Ingest and organize research articles, PDFs, and posts into a scalable, searchable knowledge reservoir using SQLite indexing, KeyBERT keywords, and ChromaDB embeddings.
Core Features & Use Cases
- Ingest multi-source content (PDFs, URLs, text) into a structured knowledge store.
- Deduplicate content and merge keywords and references for consistent indexing.
- Generate keywords, summaries, and semantic embeddings for fast retrieval; supports end-to-end querying via RAG.
- Use cases include academic literature curation, research workflows, and finance/algo-trading knowledge management.
Quick Start
Run the ingest command against a URL or file to populate Supertank and enable fast semantic search.
Dependency Matrix
Required Modules
keybertpymupdfpdfplumberpytesseractsentence-transformerschromadbbeautifulsoup4httpx
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: supertank Download link: https://github.com/crycriM/hermes-skills/archive/main.zip#supertank Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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