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Preparing Knowledge for Retrieval

Document Ingestion and Preparation

Chunking: Splitting Documents into Useful Passages

Knowledge Check: Chunking

Embeddings and Vector Search

Understanding Embeddings

Vector Databases and Similarity Measures

Knowledge Check: Embeddings and Vectors

Retrieval Strategies and Data Quality

Semantic, Keyword and Hybrid Retrieval

Building a Reliable Knowledge Base

Knowledge Check: Retrieval Strategy

Learn how to prepare knowledge sources, split documents into useful chunks, create embeddings and use vector databases and retrieval strategies to find relevant evidence.

Data Preparation, Embeddings and Vector Databases

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