question-answering

Unofficial (Golang) Go bindings for the Hugging Face Inference API

Projeto de GenAI usando LLAMA V2 Local estilo ChatPDF

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

A Web app stack written in FastAPI, Qdrant, and React for creating AI projects

Kubernetes operator for Qdrant

(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and PGVector, featuring an ingestion pipeline. Deployed on GCP Cloud Run via Terraform.

Train Llama 2 & 3 on the SQuAD v2 task as an example of how to specialize a generalized (foundation) model.

Langchain Models for RAGs and Agents

Telegram bot that answers questions over your PDFs using retrieval-augmented generation (LangChain + FAISS).

Automated question generation and question answering from Turkish texts using text-to-text transformers

Experiments with Hugging Face 🔬 🤗

Start building practical applications that allow you to interact with data using LangChain and LLMs.

Context-Based-Question-Answering

QA Bot for Hugging Face documentation to accelerate development within the ecosystem.

Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit

LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation

[TACL, EMNLP 2025 Oral] Code, datasets, and checkpoints for the paper "CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation"

This project focuses on fine-tuning a BERT model for question answering using a limited dataset for illustration purposes.

Repository for My HuggingFace Natural Language Processing Projects

This repository uses pretrain BERT embeddings for transfer learning in QA domain