How do I see a list of available LlamaFarm examples?

You can use the command 'lf examples list' or ask Claude to display the example catalog to see projects like quick_rag, fda_rag, and ocr_and_document.

Does this skill help with configuring vector databases?

Yes, it provides specific configuration patterns for ChromaStore and other databases, including embedding and retrieval strategy definitions.

What document types are supported in these examples?

The examples cover a wide range of formats, including Markdown, PDF with semantic chunking, scanned documents via OCR, and structured government filings.

Can I import an example directly into my project?

Yes, use the command 'lf examples import [example_name] --name [my-project]' to scaffold a new project based on any of the provided templates.

LlamaFarm Project Examples

Name: LlamaFarm Project Examples
Author: llama-farm

byllama-farm

学习与文档

Provides a comprehensive catalog of reference projects and scaffolding patterns for building RAG applications with LlamaFarm.

关于

The LlamaFarm Examples skill serves as a practical reference guide for developers building AI-powered search and document analysis systems. It allows users to browse a library of production-ready patterns—ranging from minimal 'Quick RAG' setups to complex OCR and regulatory document pipelines—enabling rapid scaffolding, configuration discovery, and best-practice implementation. By providing direct access to working YAML configurations and command-line workflows, this skill helps users move from architectural concepts to working implementations within the LlamaFarm ecosystem.

主要功能

0 GitHub stars
Progressive disclosure for specialized domains like FDA or Government document processing
Direct scaffolding commands to import and initialize projects from patterns
Step-by-step workflow guidance for dataset creation, processing, and querying
Interactive catalog of RAG templates ranging from beginner to advanced complexity
Detailed YAML configuration snippets for parsers, databases, and retrievers

使用场景

Referencing validated configuration patterns for multi-database and hybrid search strategies
Rapidly prototyping a new RAG application using pre-configured templates
Learning how to implement complex document processing pipelines like OCR and entity extraction

关于

主要功能

0 GitHub stars
Progressive disclosure for specialized domains like FDA or Government document processing
Direct scaffolding commands to import and initialize projects from patterns
Step-by-step workflow guidance for dataset creation, processing, and querying
Interactive catalog of RAG templates ranging from beginner to advanced complexity
Detailed YAML configuration snippets for parsers, databases, and retrievers

使用场景

Referencing validated configuration patterns for multi-database and hybrid search strategies
Rapidly prototyping a new RAG application using pre-configured templates
Learning how to implement complex document processing pipelines like OCR and entity extraction