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
3 lessons
11 practices
2 hours
Course details
Reducing Query Latency with Precomputed Nearest Neighbors
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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