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RAG
·
Module 3
Preparing the Knowledge Base: Document Processing
1
Extracting Text from PDFs and Text Files in Python
Load and extract text from PDF and plain text files using Python libraries.
2
Chunking for RAG: Optimizing Retrieval
Explain why documents must be split into chunks for effective retrieval in RAG.
3
Fixed-Size Document Chunking with Overlap
Implement document splitting using fixed-size chunking with overlap.
4
Recursive Character-based Document Splitting
Implement document splitting using recursive character-based chunking.
5
Metadata for Enhanced Retrieval
Attach metadata to document chunks to enable filtered retrieval.
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The Language of Vectors: Embeddings and Similarity
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Indexing and Retrieval: Vector Stores