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Data Loading and Ingestion in LlamaIndex

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Data Loading and Ingestion in LlamaIndex

Data is key. Before we can operate on our data with LLM, we first need to process and load the data. This is similar to ETL (Extract, Transform, Load) in machine learning engineering. In LlamaIndex, the data ingestion pipeline typically consists of three main stages: Loading Data Transforming Data Indexing and Storing Data We will … Read more

Unlocking Intelligence in Your RAG Applications: The Secrets of Agentic Hybrid Search

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Unlocking Intelligence in Your RAG Applications: The Secrets of Agentic Hybrid Search

If you are building a retrieval-augmented generation (RAG) application, you know how powerful they can be when they work well. But semantic embedding models are not magic. Most RAG implementations rely solely on semantic similarity as the unique retrieval mechanism, throwing every document into a vector database and applying the same retrieval logic to each … Read more