In this video, you’ll learn everything about Retrieval-Based Chatbots — what they are, how they work, and how they differ from Rule-Based Chatbots. We’ll also break down the meaning of semantic similarity in simple terms with clear examples.
Topics Covered:
What is a Retrieval-Based Chatbot?
NLP Pipeline utilities
#1. Sentence tokenization → split text into sentences
# 2. Word tokenization → split sentences into words
# 3. Flatten tokens → get all words in a single list
# 4. Lemmatization → convert words to base form
# 5. Stop words removal → remove common filler words
# 6. Join tokens → return cleaned string
# So the final output is a cleaned and processed string of words
Building an FAQ Chatbot using FastAPI, Python, Pandas, Scikit-learn, and NLTK
Perfect for beginners in AI, NLP, and Chatbot Development who want to understand the basics before diving into Generative AI.
