Case Study // walmart-bot

Walmart AI Bot

Semantic product search chatbot using LangChain and Gemini API.

SearchSemantic

LogicRAG

DatabasePostgres

Uptime99%

DEMO_RECORDING

[ VIDEO ASSET REQUIRED ]

02 // Architecture Execution

Created a semantic search chatbot utilizing LangChain for document retrieval. Leveraged Gemini API for natural language understanding and Flask to manage the API gateway for real-time customer queries.

01 // The Problem Context

Traditional keyword-based search fails to interpret complex user intent, leading to irrelevant product recommendations in e-commerce.

System Stack

LangChainGemini APIFlaskPostgreSQL

core_module.ts

# LangChain Semantic Retrieval
retriever = vector_db.as_retriever(search_type='similarity')
qa_chain = RetrievalQA.from_chain_type(
    llm=gemini_model, 
    retriever=retriever
)
# 0.5s Semantic Lookup

Source Code