Semantic Search API with S-BERT and Search API with RAG/LLM

Using Artificial Intelligence (NLP) to build a semantic text query API with BERT and RAG (LangChain/LLM)

5.00 (1 reviews)
Udemy
platform
English
language
Data Science
category
André Vieira de Lima
instructor
Semantic Search API with S-BERT and Search API with RAG/LLM
305
students
7.5 hours
content
Mar 2025
last update
$54.99
regular price

What you will learn

Implement semantic text search engine API using S-BERT.

Implement a search engine API using Retrieval-Augmented Generation (RAG) and LLM.

Bootcamp for building an artificial intelligence API with resources used in companies like Google.

Acquisition of knowledge in Natural Language Processing (NLP) for text processing with Machine Learning.

Using NLP tools like NLTK, Spacy, Sentence Transformers for building search engine.

Using NLP tools like NLTK, Spacy, Sentence Transformers for building search engine.

Hands on (practical project) in building a complete Artificial Intelligence / Machine Learning project in Python.

Develop an LLM agent using LangChain.

Screenshots

Semantic Search API with S-BERT and Search API with RAG/LLM - Screenshot_01Semantic Search API with S-BERT and Search API with RAG/LLM - Screenshot_02Semantic Search API with S-BERT and Search API with RAG/LLM - Screenshot_03Semantic Search API with S-BERT and Search API with RAG/LLM - Screenshot_04
6276467
udemy ID
11/8/2024
course created date
3/21/2025
course indexed date
Bot
course submited by
Semantic Search API with S-BERT and Search API with RAG/LLM - Coupon | Comidoc