GitHub topics: faiss-vector-database

peakmojo/mcp-hubspot

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

Language: Python - Size: 80.1 KB - Last synced at: about 20 hours ago - Pushed at: about 20 hours ago - Stars: 49 - Forks: 24

Chieko-Seren/OpenKimi

Unlimited context on any LLM ✨在任何语言模型上使用无限的上下文窗口 | 顺便一提，我们没有股权纠纷 :)

Language: Python - Size: 315 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 21 - Forks: 1

realshubhamraut/Automated-Job-Screener-NLP-Engine

Language: Python - Size: 4.18 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

2003HARSH/SkillHorizon

Skill Horizon is an AI-based tool that uses real job data and course reviews to identify skill gaps and recommend personalized courses based on user queries and real learner feedback.

Language: Python - Size: 16.6 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

rahulsamant37/Daily-Task

DAILY-TASK: My Learning & Development Journey repository documenting my growth in MLOps and AI Engineering. It serves as both a portfolio and knowledge base, showcasing production-ready ML pipelines and core Python development practices. With projects on MLOps, AgenticAI, each commit reflects my continuous learning and practical implementations.

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

habib-source/pdf-rag

PDF chatbot question and answer

Language: Python - Size: 438 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

surajgiri974/langchain-qa-chroma-faiss

A document-based Question-Answering system using LangChain, HuggingFace Embeddings, Ollama (Mistral), Chroma, and FAISS — all running locally.

Language: Python - Size: 519 KB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Rana-Shankani/Customer-Support-Bot

A customer support chatbot using Retrieval Augmented Generation (RAG) to answer questions from documentation. Upload PDFs or text files, and let the system handle document processing, embedding generation, and semantic search. Built with LangChain, FAISS vector database, and HuggingFace models with a simple Flask web interface.

Language: Python - Size: 5.86 KB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

piyush06singhal/PDF_chat_application

A Streamlit-based AI-powered tool that allows you to interact with your PDFs conversationally. Upload PDF files, extract their content, and ask questions about the text using advanced AI models like Google Generative AI and FAISS for contextual understanding.

Language: Python - Size: 172 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

eneav/RAG-InternFAQ

Language: Python - Size: 50 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

SayamAlt/Smart-Job-Description-Analyzer-using-Langchain

Successfully developed an LLM application that intelligently analyzes job descriptions and compares them against uploaded resumes to provide actionable insights.

Language: Python - Size: 17.6 KB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

brinthas/image_search_engine

Using CLIP model, FAISS, FastAPI and Streamlit

Language: Python - Size: 6.03 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

DanRo3/tesis-multiagente

Sistema multiagente basado en IA para la extracción y visualización de información desde bases de datos vectoriales mediante lenguaje natural.

Language: Python - Size: 2.71 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

apsinghAnalytics/FinRAGify_App

An LLM app leveraging RAG with LangChain and GPT-4 mini to analyze earnings call transcripts, assess company performance, using natural language queries (NLP), FAISS (vector database), and Hugging Face re-ranking models.

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

yaacoo/graphRagSqlator

LLM graph-RAG SQL generator for large databases with poor documentation

Language: Python - Size: 23.4 KB - Last synced at: 1 day ago - Pushed at: 7 months ago - Stars: 7 - Forks: 1

Jatin-Mehra119/DigiLocker-AI-CHAT

Language: Python - Size: 75.2 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

959kissfm/AI-Powered-Research-Assistant-using-Langchain

Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

Language: Python - Size: 10.7 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

arkapatra31/LangChain

Implementing LangChain concepts and building meaningful stuffs

Language: Python - Size: 16.5 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 4 - Forks: 0

hrishi-008/SummarAI

A tool for summarizing search results and website content using FAISS, LLMs, and the Retrieval-Augmented Generation (RAG) technique.

Language: Python - Size: 30.3 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 29 - Forks: 6

hangtantai/linkedin-chatbot-job-MNT-team

This project focuses on building AI with RAG about latest Linkedin job. This project is built by MNT team, University of Science, in major Mathematics and Computer Science

Language: Python - Size: 78.5 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

SayamAlt/AI-Powered-Research-Assistant-using-Langchain

Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

Language: Python - Size: 7.81 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

YashShukla925/Rag_model

A Streamlit-based application that lets users upload PDF files and ask AI-powered questions based on document content. It uses Google Gemini AI for natural language understanding and FAISS for efficient vector search.

Language: Python - Size: 64.5 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

yatashiwakeup/Patient-Demographic-Text-To-SQL

Developed Text to SQL Patient Demographic Chat-Bot using RAG technology and langchian.

Size: 1000 Bytes - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

aryashah2k/AryaGPT

Webapp to answer questions about my resume leveraging Langchain, OpenAI, Streamlit

Language: Python - Size: 333 KB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 14 - Forks: 0

ranak8811/Chat-with-Multiple-PDFs

This is a Streamlit application that allows you to chat with the content of multiple PDF documents.

Language: Python - Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vinerya/faiss_vector_aggregator

This Python library provides a suite of advanced methods for aggregating multiple embeddings associated with a single document or entity into a single representative embedding.

Language: Python - Size: 9.77 KB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

Jatin-Mehra119/AI-Powered-YouTube-Video-Summarizer-and-Fact-Checker

This Project will check the facts said in a YouTube video whether they are true or not and it can also summarize the YT videos.

Language: Python - Size: 376 KB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

bhaskarr103/LegalDoc_AI-App

A research driven approach on building AI-powered legal assistant leveraging FAISS for efficient legal document retrieval and Hugging Face model for intelligent response generation.

Language: Python - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mohd-faizy/RAG-DeepSeek

Efficiently search and retrieve information from PDF documents using a Retrieval-Augmented Generation (RAG) approach. This project leverages DeepSeek-R1 (1.5B) for advanced language understanding, FAISS for high-speed vector search, and Hugging Face’s ecosystem for enhanced NLP capabilities. With an intuitive Streamlit interface and Ollama for mode

Language: Python - Size: 405 KB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Omar-Karimov/BankLLM

BankLLM is an AI-driven recommendation engine for banking, using OpenAI's models to analyze customer data and generate personalized product suggestions. It integrates LangChain, FAISS, and LangServe, with a FastAPI backend and Streamlit frontend, following an LLMOps approach for scalable deployment.

Language: Python - Size: 695 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1

sergio11/streamlit_llm_langchain_applications

Explore innovative Language Model applications (LLMs) with Streamlit-based Proof of Concepts (POCs) 🚀. These demos showcase open-source models using Groq for cloud-based inference and LangChain for efficient orchestration 🌐. From writing assistants to blog post generators, experience AI-driven tools enhancing productivity and creativity 📚💡.

Language: Python - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

thirza258/endorbit

Endorbit (Flipkart Product Chatbot) | Build your Bot Submission

Language: Jupyter Notebook - Size: 2.46 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

VuBacktracking/bert-faiss-qa-system

Q&A System using BERT and Faiss Vector Database

Language: Python - Size: 899 KB - Last synced at: 19 days ago - Pushed at: 11 months ago - Stars: 9 - Forks: 0

balaji1233/WEB_MASTER

AI tool to transforms any URL into a structured knowledge source by: extracting content using Crawl4AI ,vectorizing and summarizing data , running Retrieval-Augmented Generation (RAG) for deep information discovery, enabling a smart chatbot for interactive Q&A.

Language: Python - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

inder-dev-pro/EduBrain

📚 EduBrain - AI-Powered Study Companion 🚀 A PDF-based RAG chatbot using Google Gemini-Pro & FAISS. 📄🤖 Extracts text 📂, chunks & embeds 🧩, stores in FAISS 🗄️, retrieves relevant data 📊, & generates context-aware responses 💡💬 for interactive learning 📖⚡🎓!

Language: Python - Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Kabilduke/RAG-Connect

Creating a RAG model and Fine tuning for custom purposes

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Srikanth-Banda/PDF-Data-Analyzer

This application can intelligently answer all your questions regarding your PDFs.

Language: Python - Size: 326 KB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

maryamyazdi/QA-with-RAG

A question-answering framework empowered with a custom retrieval-augmented generation (RAG) pipeline to answer queries on local documents

Language: Python - Size: 5.67 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

Bushra-Butt-17/BudgetBuddy-Finance-Chatbot

Budget Buddy is a finance chatbot built using Chainlit and the LLaMA language model. It analyzes PDF documents, such as bank statements and budget reports, to provide personalized financial advice and insights. The chatbot is integrated with Hugging Face for model management, offering an interactive way to manage personal finances.

Language: Python - Size: 19.3 MB - Last synced at: 22 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

grand-27-master/NewsGPT

Language: Python - Size: 301 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sergio11/retrospect

Retrospect 🔍 is a cybersecurity tool that analyzes historical web snapshots 🕒 from the Wayback Machine, uncovering vulnerabilities 🛡️, sensitive data leaks 🔓, and security misconfigurations 🛠️. It empowers security pros to predict and mitigate threats ⚠️ before they become exploitable.

Language: Python - Size: 901 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

somenath203/pdf-insights-interactive-q-and-a-with-llamathree-groq-api

Click below to visit my website

Language: Python - Size: 14.6 KB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

TarunSingh2002/Web-Content-Question-And-Answer-Tool

A Python-based tool that answers questions using content from specified URLs. Combines web scraping, AI models (LLMs), and vector embeddings via Streamlit and LangChain/FAISS to deliver precise, context-aware responses.

Language: Python - Size: 13.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Danitilahun/Langchain_projects

This repository hosts diverse Langchain projects featuring chains, retrievers, tools, agents, RAG pipelines, vector databases (FAISS, Pinecone , Chroma), and integrations with Langsmith and Langserve via FastAPI.

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

jordan-jakisa/blog_post_writer

An AI agent that writes SEO-optimised blog posts and outputs a properly formatted markdown document.

Language: Python - Size: 106 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 32 - Forks: 17

kid-sid/chat_with_pdf

This app can take PDFs from users and based on the PDF texts it can answer user' query from those context.

Language: Python - Size: 540 KB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

MiKL5/Python

Language: Python - Size: 18.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

manishkolla/GenAI_University_Chatbot

Imagine a website where users can skip complex navigation and get instant answers with just a question. This project explores how a Retrieval-Augmented Generation (RAG) chatbot reduces server load and network congestion by streamlining interactions-enhancing both efficiency and user experience in a way traditional navigation can't.

Language: Python - Size: 14.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Shubham-Bendre/Chat-with-multiple-pdfs

Effortlessly interact with your PDF files using the power of Google Generative AI! This app enables users to upload PDF files, process them into a searchable format, and ask detailed questions based on the PDF content.

Language: Python - Size: 139 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

BjornMelin/polyagent-research-intelligence

A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.

Language: TypeScript - Size: 222 KB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 6 - Forks: 2

NebeyouMusie/End-To-End-Advanced-RAG-Project-using-Open-Source-LLM-Models-And-Groq-Inferencing

In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.

Language: Python - Size: 76.2 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 1

laavanjan/Langchain-chatbot-with-gemma-2b-Model

This is a Streamlit-based chatbot powered by LangChain and Gemma 2B using the Ollama framework

Language: Python - Size: 63.5 KB - Last synced at: 14 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

tenifayo/Law-Buddy

LLM Chatbot for Legal Education

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Forquosh/LaMiniT5-Langchain-FAISS-RAG

A RAG application for PDF data using the LaMini-T5-738M language model, Langchain and FAISS.

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Hemanthkumar2112/Reward-Modeling-RLHF-Finetune-and-RAG

Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform

Language: Jupyter Notebook - Size: 18.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 20 - Forks: 6

fosetorico/Chat-With-Multiple-PDF-Documents

End-to-End PDF Chatbot for Conversational Search and Knowledge Extraction from Multiple PDF Documents using advanced text processing, FAISS vector storage, Gemini AI, and Google Generative AI embeddings for accurate and context-aware responses.

Language: Python - Size: 843 KB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

fosetorico/article_research_bot

End-to-End Research Bot for Summarizing and Extracting Insights from Multiple URLs using advanced text processing, FAISS vector storage, and OpenAI services for accurate and concise responses.

Language: Jupyter Notebook - Size: 640 KB - Last synced at: 28 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

maylad31/vector_sqlite

Faiss with sqlite

Language: Python - Size: 25.4 KB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 2

Md-Emon-Hasan/Vector-Database

Designed to store and retrieve high-dimensional data, such as embeddings, efficiently. It enables fast similarity searches by leveraging techniques.

Language: Jupyter Notebook - Size: 9.19 MB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

amandeep-gupta19/ChatBot

Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask

Language: Python - Size: 27.3 KB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

25mb-git/pdfchat Fork of SonicWarrior1/pdfchat

RAG-based Local PDF Chatbot: Supports multiple PDFs and concurrent users. Powered by Mistral 7B LLM, LangChain, Ollama, FAISS vector store, and Streamlit for an interactive experience.

Language: Python - Size: 433 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

abhishekpsonawane07/ATS_Resume_Breaker

ATS Resume, Analaysis the resume of the user and generates questions based on resume.

Language: Python - Size: 16.6 KB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Med-Karim-Ben-Boubaker/localume

Localume is a powerful desktop application that enables semantic search across your documents using advanced vector embeddings and retrieval technology. The application monitors specified directories in real-time, automatically indexing new and modified files to maintain an up-to-date searchable database.

Language: Python - Size: 10.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

iam-tsr/Chat-with-PDFs

Upload multiple PDFs, ask questions, and get answers instantly using Chat with PDFs.

Language: Python - Size: 243 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

dsba6010-llm-applications/baemax_tc

LLM App to demystify and summarize Terms and Conditions agreements

Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: 21 days ago - Pushed at: 4 months ago - Stars: 6 - Forks: 2

arpitpatelsitapur/student_support.chatbot.rag

Language: Python - Size: 579 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

bilalhameed248/Patient-Demographic-Text-To-SQL

Developed Text to SQL Patient Demographic Chat-Bot using RAG technology and langchian.

Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

NitinYadav1511/PDF-ChatBot

Generative AI Mini Project using Google Gemini API

Language: Python - Size: 162 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

Piyush-sri11/QA-chatbot

A Question-Answering chatbot built using RAG (Retrieval-Augmented Generation) with conversation memory. This project uses LangChain, various LLM options, and vector stores to create an intelligent chatbot that can answer questions about Jessup Cellars winery.

Language: Python - Size: 150 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

chinmaysharmacs10/DermAssist

Repo for DermAssist: Your AI Assitant for Skin Problems. Powered by a vision model and a reliable RAG system.

Language: Jupyter Notebook - Size: 84 MB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 2 - Forks: 3

somenath203/ChatFolio

Click below to checkout the website

Language: JavaScript - Size: 215 KB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

NebeyouMusie/Chat-with-Multiple-PDF-Documents

In this project I have built an app that can answer questions from your multiple PDFs using Google's gemini-1.5-flash model.

Language: Python - Size: 52.7 KB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 3

MohammadShabazuddin/Custom-Website-Chatbot

Created a personalized website chatbot to provide automated support and enhance user engagement using NLP models.

Language: Jupyter Notebook - Size: 40 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

strcoder4007/All-AI-Agents

Repo for different Agents

Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: 21 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

extrawest/chat_with_pdf_aws_bedrock

Chat with PDF using AWS Bedrock

Language: Python - Size: 7.81 KB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

abari111/abariBot

abaritbot: AI assistant using RAG and openAI API.

Language: Python - Size: 316 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

hegdebhavya/AzureAI-RAG

Azure OpenAI and LangChain to create a vector database and perform question-answering tasks in terminal and using streamlit.

Language: Python - Size: 20.5 KB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

habeebmoosa/PdfQnA

This project allows users to upload PDF files and ask questions about their contents using a chat interface with Gemini API.

Language: HTML - Size: 8.79 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mytechnotalent/RAGMA

An interactive, state-of-the-art Retrieval-Augmented Generation Medical Assistant that leverages deep learning and FAISS-based retrieval to provide accurate, context-aware answers to medical queries in real time.

Language: Jupyter Notebook - Size: 4.76 MB - Last synced at: 23 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Bolliboinapavansai/DocuQuery

DocuQuery is a document querying application that utilizes Retrieval-Augmented Generation (RAG) and the Llama2 model for efficient information retrieval from large documents. This user-friendly tool supports PDF uploads and delivers quick, accurate responses to user queries.

Language: HTML - Size: 21 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

aysenurcftc/LangChainSQLAgent

This project enables performing SQL queries in natural language using LangChain and Streamlit.

Language: Python - Size: 184 KB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1

Furk4nBulut/WebTrafficQA-Responder-AI-RAG

A Question-Answering (Q&A) system leveraging web traffic logs. The system is designed to handle natural language questions from users, analyze the relevant traffic log data, and generate accurate and contextually appropriate responses.

Language: Jupyter Notebook - Size: 932 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

yaacov/songdb

Manage a songs database using an HTTPS REST API

Language: Python - Size: 13.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

jojocoder28/Mutual_Fund_Chatbot

This is a basic RAG chatbot and report generator made using LangChain, Streamlit, FAISS, Cohere's embed-english-v3.0 and Cohere's command-r

Language: Python - Size: 904 KB - Last synced at: 13 days ago - Pushed at: 12 months ago - Stars: 3 - Forks: 3

haneesha2018/personal_bot

This repository enables the creation of a GPT-powered chatbot application that combines standard ChatGPT capabilities with advanced features for uploading and interacting with large PDF and TXT documents.

Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

darrinbright/PDF-QA-RAG

This project PDF-QA using RAG extracts text, divides it into chunks, stores it in a FAISS database, and uses Google Gemini-pro for responses.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

irtazaaslam/Research-Tool-using-RAG

We are going to build Advanced RAG Pipeline With Multiple Data Sources such as arxiv,wikipedia and our custom web source. Here we will be using agents,tools,toolkits and agent executor.

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

dahsie/rag_based_chatbot

A RAG based chatbot using local llm, specially Olloma. The chatbot can go in internet via DuckduckGo to search relevant context to answer a given question for which no relevant context has been found in the vectors store. One use LangGraph for assessing the relevancy of a given llm answer.

Language: Python - Size: 10.7 KB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Ayeshaaaaaaaaa/Enhanced-Contextual-Insights-RAG-Based-GPT-Integration-for-Question-Answering-with-BBC-News-Data

This project integrates RAG techniques with GPT-2 for advanced question-answering using BBC news articles. It employs FAISS for efficient document retrieval and SentenceTransformer for embeddings, providing detailed and contextually accurate answers by combining article content with publication dates.

Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0