eltatata/Nextjs-langchain-retrievalQA
A chatbot created with Next.js and AI SDK, using Langchain with RetrievalQA to provide information from a PDF loaded into a vector store in MongoDB.
Felipe is an AI-powered assistant designed to help students, educators, or anyone learning about computer science data structures. You provide natural language questions about data structures, and it retrieves precise answers directly from a specialized PDF document. This tool is for anyone needing quick, reliable information on data structures without sifting through textbooks.
Use this if you are studying or teaching computer science and frequently need to look up definitions, explanations, or examples related to data structures.
Not ideal if you need information on topics outside of data structures or require answers generated from a broad range of web sources rather than a specific PDF.
Stars
9
Forks
—
Language
TypeScript
License
—
Category
Last pushed
Jan 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/eltatata/Nextjs-langchain-retrievalQA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tavily-ai/tavily-chat
Conversational agent that fuses chat data with live web results through Tavily search, extract,...
zahidkhawaja/langchain-chat-nextjs
Next.js frontend for LangChain Chat.
homanp/langchain-ui
🧬 The open source chat-ai toolkit
traveler-leon/smart-customer-service-system
构建一个基于大模型的智能客服系统,可提供静态知识问答(静态数据)、动态知识问答(数据库),业务办理(api调用)等功能,同时系统具有自我学习能力。定期的反思可让系统变得更强大。
Azure-Samples/serverless-chat-langchainjs-purview
About This sample showcases how Purview API can be integrated to audit and secure AI prompts and...