Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
-
Updated
Jul 26, 2024 - Python
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
⚡ A fast embedded library for approximate nearest neighbor search
(distributed) vector database
S3 vector database for LLM Agents and RAG.
A specialized implementation of the Hierarchical Navigable Small World (HNSW) data structure adapted for efficient nearest neighbor lookup of approximate matching hashes
The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.
Comparison of IVFFlat and HNSW Algorithms
Add a description, image, and links to the hnsw topic page so that developers can more easily learn about it.
To associate your repository with the hnsw topic, visit your repo's landing page and select "manage topics."