GitHub / huacenxu / Embedding-Models-for-AI-Retrieval
This project develops a domain-specific embedding model to enhance document retrieval in AI-powered search systems. It incorporates techniques like synthetic data generation, model fine-tuning, and vector search using FAISS, evaluated with MRR@5 for performance.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huacenxu%2FEmbedding-Models-for-AI-Retrieval
PURL: pkg:github/huacenxu/Embedding-Models-for-AI-Retrieval
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 4.88 KB
Dependencies parsed at: Pending
Created at: 7 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 2 months ago
Topics: document-retrieval, embedding-models, faiss, machine-learning, mrr, nlp, reallifeproject, semantic-search