LlamaIndex

An architectural pattern that dynamically retrieves relevant external information and injects it into an LLM's prompt window to ground text generation in factual, up-to-date knowledge.

Techniques for dividing long documents into smaller, discrete text blocks to optimize embedding quality and retrieval precision within a vector database for RAG applications.

The foundational pipeline for extracting, parsing, and converting complex unstructured document layouts into clean, structured context streams for AI ingestion.