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Natural Language Processing

Optimizing and Scaling ChromaDB for Vector Search

This course focuses on scaling ChromaDB for large-scale deployments, improving search efficiency, reducing retrieval latency, and parallelizing queries for real-time performance.

ChromaDB

Python

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3 lessons

11 practices

2 hours

NLP Model Evaluation and Optimization

Course details

Reducing Query Latency with Precomputed Nearest Neighbors

Preview

Loading and Managing Vector Data

Setting Up ChromaDB Collection

Insert and Retrieve with ChromaDB

Configuring and Verifying Embeddings in ChromaDB

Compute and Store Nearest Neighbors

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