揭秘 LlamaIndex OPTIMIZING：通往高级LLM应用开发的捷径

揭秘 LlamaIndex OPTIMIZING：通往高级LLM应用开发的捷径

在当今AI领域的热潮中，LlamaIndex 作为一款赋能大型语言模型（LLMs）并革新其应用场景的热门工具，已悄然成为众多开发者和企业眼中的焦点。它不仅连接了大模型与外部数据源之间的鸿沟，更是在 LLMOps 领域树立起一面鲜明的旗帜。然而，对于许多跃跃欲试的技术爱好者而言，LlamaIndex 所蕴含的进阶功能犹如隐藏在代码丛林中的瑰宝，等待着我们去发掘。今天，就让我们一同深入探索这个神秘的“黑匣子”，无需一行行研读英文文档，也能轻松掌握那些赋予 LlamaIndex 强大力量的关键特性。

OPTIMIZING

Basic Strategies

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• Accessing/Customizing Prompts within Higher-Level Modules

• Advanced Prompt Techniques (Variable Mappings, Functions)

• Advanced Prompt Techniques (Variable Mappings, Functions)

• Prompt Engineering for RAG

• BM25 Retriever

• Reciprocal Rerank Fusion Retriever

• Weaviate Vector Store - Hybrid Search

• Pinecone Vector Store - Hybrid Search

• Vector Store Index usage examples

• Defining and Customizing Documents

• Defining and Customizing Nodes

• Metadata Extraction Usage Pattern

  • Extracting Metadata for Better Document Indexing and Understanding
  • Automated Metadata Extraction for Better Retrieval + Synthesis
  • Entity Metadata Extraction
  • Metadata Extraction and Augmentation w/ Marvin
  • Pydantic Extractor* Multi-Tenancy RAG with LlamaIndex

• Multi-Tenancy RAG with LlamaIndex

• Advanced Retrieval Strategies

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• Query Transform Cookbook
• Query Transformations

  • HyDE Query Transform
  • Multi-Step Query Engine
• Composable Objects
• DeepMemory (Activeloop)
• Weaviate Vector Store - Hybrid Search
• Pinecone Vector Store - Hybrid Search* Agentic strategies

• Agentic strategies

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• Routers

  • Router Query Engine
  • Retriever Router Query Engine
  • SQL Router Query Engine
  • Router Retriever
• Query Transformations

  • HyDE Query Transform
  • Multi-Step Query Engine
• Sub Question Query Engine (Intro)
• Build your own OpenAI Agent
• OpenAI Agent with Query Engine Tools
• Retrieval-Augmented OpenAI Agent
• OpenAI Agent + Query Engine Experimental Cookbook
• OpenAI Agent Query Planning
• Context-Augmented OpenAI Agent

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