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solr-pdf-indexing

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Index PDFs in Solr for hybrid search

Software Engineering#pdf#indexing#embeddings#search#hybrid search#solr#tika
Authorjmservera
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of efficiently indexing PDF documents into SolrCloud for both traditional full-text search and advanced semantic search capabilities.

Core Features & Use Cases

  • Full-Text Indexing: Leverages Solr's Tika integration to extract text and metadata from PDFs.
  • Metadata Extraction: Parses author, title, and year from filesystem paths.
  • Hybrid Search: Supports keyword, semantic (embeddings), and combined search modes.
  • Use Case: Integrate this Skill into a document management system to make a large collection of research papers searchable by keywords, author, and semantic similarity.

Quick Start

Use the solr-pdf-indexing skill to index the PDF file located at /path/to/document.pdf into Solr.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: solr-pdf-indexing
Download link: https://github.com/jmservera/aithena/archive/main.zip#solr-pdf-indexing

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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