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knowledge-ingestion-patterns

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Ingest knowledge into vectors with smart chunking

Data & Analytics#rag#metadata#ingestion#deduplication#chunking#vector-databases
Authormindmorass
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides best practices for ingesting diverse content into vector databases and RAG systems, ensuring efficient chunking, metadata, and retrieval quality.

Core Features & Use Cases

  • Pattern-based ingestion for PDFs, websites, code repositories, and research notes to optimize chunking and metadata.
  • Rich metadata schemas and deduplication rules to improve retrieval accuracy and provenance.
  • Use Case: Ingest a mixed set of sources (PDFs, web pages, and notes) and generate consistent chunks with metadata ready for indexing.

Quick Start

Ingest a PDF, a website, or notes by providing the content source and desired chunk size; the skill will outline the ingestion plan and metadata schema.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: knowledge-ingestion-patterns
Download link: https://github.com/mindmorass/reflex/archive/main.zip#knowledge-ingestion-patterns

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