Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: chunking

Direktori bahasa Inggris

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

15K
Stars
86/100
Kepercayaan
Kategori: document-processingAudit

Open-source GEO content engineering and multi-site distribution system with AI tasks, RAG/semantic chunking, analytics, GEOFlow Agent and WordPress target publishing.

2.6K
Stars
85/100
Kepercayaan
Kategori: growth-marketingAudit

Enhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking, and markdown formatting of scanned PDFs

2.9K
Stars
73/100
Kepercayaan
Kategori: document-processingAudit

Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.

177
Stars
67/100
Kepercayaan
Kategori: document-processingAudit

Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & impact analysis. Drop-in replacement for grep/cat/read/ls in Claude Code, Codex, Cursor, Aider, OpenHands.

132
Stars
64/100
Kepercayaan
Kategori: coding-agentsAudit

Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications.

123
Stars
69/100
Kepercayaan
Kategori: rag-knowledgeAudit

PDFStract - Extract, Chunking and Embedding Layer in Your RAG Pipeline - Available as CLI - WEBUI - API

152
Stars
63/100
Kepercayaan
Kategori: document-processingAudit

A local-first RAG knowledge base for Pi agents that indexes code, docs, and notes for persistent, searchable project memory across sessions.

11
Stars
66/100
Kepercayaan
Kategori: coding-agentsAudit

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

101
Stars
69/100
Kepercayaan
Kategori: automationAudit

Advanced document extraction and chunking techniques for retrieval augmented generation that is aware of the layout of documents. Increases knowledge retrieval accuracy and provides control for retrieved knowledge context management

118
Stars
65/100
Kepercayaan
Kategori: document-processingAudit

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

111
Stars
63/100
Kepercayaan
Kategori: rag-knowledgeAudit