Name: developing-llamaindex-systems
Availability: InStock
Author: SpillwaveSolutions

System Documentation

What problem does it solve?

This Skill streamlines building end-to-end LlamaIndex-based agentic systems, reducing setup time and complexity by providing a complete structure, reference materials, and ready-to-run scripts.

Core Features & Use Cases

Semantic Ingestion: Build coherent chunks from documents or code using SemanticSplitterNodeParser and CodeSplitter.
Property Graphs & Context RAG: Hybrid graph/vector retrieval with Neo4j integration and router-based query execution.
Orchestration & Observability: ReAct workflows, event-driven tasks, and Arize Phoenix tracing for end-to-end visibility.
Use Case: Quickly assemble an agent with semantic chunking, graph-backed retrieval, and observable pipelines.

Quick Start

Install dependencies, then run the semantic ingestion script to build a project-wide index and launch an example workflow.

Dependency Matrix

Required Modules

llama-index-core>=0.10.0,<0.12.0llama-index-llms-openai>=0.1.0,<0.3.0llama-index-embeddings-openai>=0.1.0,<0.3.0llama-index-graph-stores-neo4j>=0.1.0,<0.3.0llama-index-readers-file>=0.1.0,<0.3.0arize-phoenix>=3.0.0,<5.0.0nest-asyncio>=1.5.0,<2.0.0python-dotenv>=1.0.0,<2.0.0networkx>=3.0,<4.0pydantic>=2.0.0,<3.0.0sentence-transformers>=2.2.0,<3.0.0

Components

scriptsreferences

Please help me install this Skill: Name: developing-llamaindex-systems Download link: https://github.com/SpillwaveSolutions/developing-llamaindex-systems/archive/main.zip#developing-llamaindex-systems Please download this .zip file, extract it, and install it in the .claude/skills/ directory.

developing-llamaindex-systems