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Natural Language Processing

Implementing Semantic Search with ChromaDB

This course focuses on advanced semantic search techniques in ChromaDB, including multi-query expansion, hybrid retrieval (combining different search strategies), reranking techniques, and improving search relevance beyond basic vector similarity.

ChromaDB

Python

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4 lessons

13 practices

2 hours

Machine Learning Modeling for NLP

Course details

Understanding Similarity Search with Cosine Similarity

Preview

Encoding Texts for Similarity Calculation

Calculating Text Similarity with Cosine

Filtering Texts with Cosine Similarity

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Next Course: Optimizing and Scaling ChromaDB for Vector Search

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