CITATION.cff

cff-version: 1.2.0
title: DocAssist-LLM
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Divit
    family-name: Mittal
    email: 64.69.76.69.74.m@gmail.com
repository-code: 'https://github.com/DivitMittal/DocAssist-LLM'
url: 'https://github.com/DivitMittal/DocAssist-LLM'
abstract: >-
  RAG-enhanced LLaMa-like transformer neural network based LLM for assistance
  on programming language/framework documentations, with a Streamlit front-end.
  The RAG-LLTN model integrates Retrieval-Augmented Generation (RAG)
  capabilities with the architecture of LLaMa-like Transformer Neural Networks
  (LLTN), enhancing its ability to retrieve and generate contextually relevant
  and accurate documentation assistance.
keywords:
  - machine-learning
  - deep-learning
  - transformer
  - llama
  - rag
  - retrieval-augmented-generation
  - nlp
  - natural-language-processing
  - documentation-assistant
  - pytorch
  - streamlit
  - qdrant
  - langchain
license: MIT
date-released: '2024-02-22'