docsearch
OfficialSemantic search for local documents.
Data & Analytics#embeddings#semantic-search#local-docs#information-retrieval#chromadb#document-indexing
Authorthevgergroup
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Index local documents into a ChromaDB-based vector store to enable fast, semantic search across large collections of PDFs, Word, slides, spreadsheets, and text files.
Core Features & Use Cases
- Ingest a directory tree and generate chunked embeddings for efficient retrieval.
- Perform semantic searches with optional metadata filtering and hierarchical depth-based scoping.
- Incrementally re-index as files change, preserving existing results while updating only new content.
Quick Start
Run a simple quick start by indexing your documents with the built-in script and then performing a search query.
Dependency Matrix
Required Modules
chromadbrequestsdocxpptxpypdfium2openpyxl
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: docsearch Download link: https://github.com/thevgergroup/mad-skills/archive/main.zip#docsearch Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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