AdalFlow: The library to build & auto-optimize LLM applications.

Financial Domain Question Answering with pre-trained BERT Language Model

Korean Sentence Embedding Model Performance Benchmark for RAG

VariantRetriever is a minimalist package for feature flagging

Okapi BM25 with Go

A Flutter application consisting of TCP Port Scanner, Route Tracer, Pinger, File Hash Calculator, String Hash Calculator, Base Encoder, Morse Code Translator, Open Graph Protocol Data Extractor, Series URI Crawler, DNS Record Retriever, and WHOIS Retriever.

Adding InMemoryCaching, Ensemble Retrievers,langchain, faiss for a open domain chatbot

a lightweight video cover capture library

InfoSage is a Question and Answering (Q&A) model using the Retriever-Reader approach. The application is built using the Streamlit framework and utilizes several modules and functionalities along with a database to store user information and feedback.

Domain adaptation in open domain question answering is tackled through theme specific rankers. We also propose a novel resource allocation algorithm to select the number of paragraph to be examined for extracting the answering. Finished 1st among participating IITs in Inter IIT tech Meet 11.0

Retrieve the right extension for a file. Using an xml database containing signatures.

BookGrabber - utility for obtaining audiobook files from the site `Книга в ухе`.

This project demonstrates the power and versatility of LangChain tools and agents. It also showcases how Large Language Models (LLMs) can interact with various external data sources and perform complex tasks using a combination of natural language processing and specialized tools.

'Gabo' is a RAG (Retrieval-Augmented Generation) system designed to enhance the capabilities of LLMs (Large Language Models) such as 'Llama 3.2' or 'Phi 3.5'. This project honors Colombian author Gabriel García Márquez by marking the tenth anniversary of his death.

A Java-program which retrieves the full-texts or datasets from the Publication-Web-Pages.

Codes for manipulating the London Crime dataset.

This RAG Application used techniques like Similarity Search, Chain and Retriever to chat with our files using OllamaEmbeddings, LLAMA3, Chromadb, FaissDB.

Google SMS Retriever API DEMO

Open-Domain QA