LlamaIndex

LlamaIndex (formerly GPT Index)

1. Building and Updating Indexes

   • Techniques for maintaining and dynamically updating indexes.

2. Tree-Structured Indexing

   • Organizing documents hierarchically to optimize retrieval.

3. Embedding-Based Indexing

   • Using vector embeddings for similarity-based document retrieval.

4. Graph-Based Indexing

   • Graph structures for capturing document relationships and cross-references.

5. Index Pruning and Optimization

   • Reducing index size while maintaining retrieval quality.

6. LlamaIndex Integration with Vector Stores

   • Using vector databases like Pinecone or Weaviate for efficient retrieval.

7. Document Chunking and Relevance

   • Techniques for breaking down large documents for efficient indexing and retrieval.