Sentence Transformers — 3 Technical Articles

Feb 19, 2026 · Artificial Intelligence

Add Long-Term Memory to Your Agent with Lightweight RAG (Lesson 5)

This tutorial shows how to equip an AI agent with long‑term memory using Retrieval‑Augmented Generation (RAG), covering the concepts of vector embeddings, FAISS indexing, building and querying a knowledge base, and providing complete Python code examples.

AgentEmbeddingFAISS

0 likes · 13 min read

Add Long-Term Memory to Your Agent with Lightweight RAG (Lesson 5)

Data Party THU

Sep 25, 2025 · Artificial Intelligence

Mastering Triplet Loss in Sentence‑Transformers: A Step‑by‑Step Guide

This article explains the concept of triplet loss, its mathematical formulation, the different batch‑wise implementations in the sentence_transformers library, their advantages and drawbacks, and provides a complete Python example for training a text‑embedding model with Triplet Loss.

EmbeddingPyTorchPython

0 likes · 12 min read

Mastering Triplet Loss in Sentence‑Transformers: A Step‑by‑Step Guide

AI Algorithm Path

Jun 15, 2025 · Artificial Intelligence

Fine‑Tuning Text Embeddings for Domain‑Specific Search: A Complete Walkthrough

This article explains why generic text‑embedding models often fail in specialized retrieval tasks, then demonstrates how to fine‑tune such models using contrastive learning, curated job‑listing data, and the Sentence‑Transformers library, achieving near‑perfect accuracy on a job‑matching benchmark.

Fine-tuningSentence Transformerscontrastive learning

0 likes · 11 min read