Paper Title

LANGCHAIN BASED QUESTION ANSWER SYSTEM

Authors

JAYA SWEDHAA R S , ABRAJI NARAYANAN L , JEYANTHI A

Keywords

LangChain, Large Language Model(LLM), Natural Language Processing(NLP), Pathways Language Model(PaLM).

Abstract

In order to enable Q&A sessions on the EdTech platform, we are creating a model through LangChain which allows the Q&A session to be facilitated. Basically, it is a generative AI approach that connects large language models such as PaLM, LLaMA, and NLP as well as a variety of other models. It has been decided to use LangChain (a framework that was developed in Python and Java script) to answer the questions that were raised by the learners of the platform on various topics. There are a few features that may look like chatbots, but they aren't. As a matter of fact, we can build chatbots using LangChain, which deals with the "Normal Language model" and gives the chatbot a unique personality and context in accordance with the previous conversation, making it easier to understand what the user wants. The "QuestionAnswer model" offered by LangChain translates and answers diverse questions, in contrast with the "Question-Answer model". The dataset was provided by the company for which we are creating the Q&A model.

How To Cite

"LANGCHAIN BASED QUESTION ANSWER SYSTEM", JNRID - JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (www.JNRID.org), ISSN:2984-8687, Vol.2, Issue 5, page no.a40-a51, May-2024, Available :https://tijer.org/JNRID/papers/JNRID2405004.pdf

Issue

Volume 2 Issue 5, May-2024

Pages : a40-a51

Other Publication Details

Paper Reg. ID: JNRID_700247

Published Paper Id: JNRID2405004

Downloads: 000301

Research Area: Science and Technology

Country: CHENNAI, TAMIL NADU, India

Published Paper PDF: https://tijer.org/JNRID/papers/JNRID2405004

Published Paper URL: https://tijer.org/JNRID/viewpaperforall?paper=JNRID2405004

About Publisher

ISSN: 2984-8687 | IMPACT FACTOR: 9.57 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: JNRID (IJ Publication) Janvi Wave

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