Found 140 repositories(showing 30)
No description available
gmirandagh
A RAG application for building a high-fidelity Q&A assistant grounded in your enterprise internal knowledge base.
kishore774477
RAG-based AI assistant for enterprise docs (HR policies, finance manuals). LangChain + OpenAI + Gradio. 85%+ eval score. Visibility: Public ✅
rag-ai-lab
Purpose: Helps employees quickly find information from company documents like SOPs and policies. Solution: Uses Retrieval-Augmented Generation (RAG) to retrieve relevant content from documents and generate accurate answers. Keywords: RAG, Enterprise Knowledge Assistant, Document Retrieval, Vector Database, Semantic Search, LangChain, Pinecone.
Atharva080324
No description available
Nikhilr-28
No description available
ManthanBohra
No description available
Barr-ack
RAG-powered enterprise knowledge assistant for querying internal documents, policies, and technical documentation using natural language.
tejeshbabu25
Enterprise AI Knowledge Assistant using Angular, .NET, Azure OpenAI, and Azure AI Search with Retrieval-Augmented Generation (RAG).
sangramyamgar
Scout AI - Enterprise Knowledge Assistant. A production-grade RAG (Retrieval-Augmented Generation) chatbot that provides secure, role-based access to enterprise knowledge using LangChain, LangGraph, and modern AI infrastructure.
Azimlearning
An enterprise-grade intelligent AI assistant platform designed specifically for PETRONAS Upstream, powered by advanced Retrieval-Augmented Generation (RAG) technology, vector embeddings, knowledge base management, and specialized AI agents to accelerate workflows and provide expert knowledge with citation-backed responses.
sankarbaseone
A modular Retrieval-Augmented Generation (RAG) engine for building enterprise AI assistants. Supports document ingestion, chunking, embeddings, vector search, and LLM-based answer generation. Includes evaluation tools and an extensible architecture for chatbots, knowledge bases, and AI copilots.
dereksagun
It uses Retrieval-Augmented Generation (RAG) to answer employee questions using internal documentation such as HR policies, onboarding guides, and support procedures. The assistant is designed to be grounded, citation-aware, and resistant to hallucination, mirroring real enterprise knowledge systems used in production environments.
JahanviGupta17
PersonaVoice is an enterprise-ready AI Agent Factory built with Streamlit and Gemini 2.0. It enables users to instantly create domain-specific assistants by uploading PDFs for RAG knowledge and defining custom personas. It features a sleek glassmorphism UI and a ChatGPT-style two-way voice chat powered by ElevenLabs with automatic TTS fallback.
manish-git8
No description available
The Enterprise Knowledge Assistant is a hybrid RAG system that answers HR data queries using a dual-engine design. It routes numeric questions to a deterministic Pandas analytics engine and descriptive queries to a hybrid retrieval pipeline combining semantic search, keyword search, and ID boosting with LLM-based reasoning.
Zikaelson
No description available
hashtagdev6
No description available
Mettu-Shubham
No description available
Velu04-afk
No description available
bhaumik-joshi-ai
This system enables enterprise users to query internal documents using LLMs with Retrieval-Augmented Generation to ensure factual, secure, and up-to-date responses.
y-ramakrishna
No description available
muhammed-jaseef
No description available
EddyBroke
No description available
Enterprise retrieval-augmented generation (RAG) system for intelligent document search and knowledge discovery.
balbirkaur
Production-ready Enterprise Knowledge Assistant built using Basic to Advanced Retrieval Augmented Generation (RAG) techniques with evaluation, re-ranking, and monitoring.
AnmolNimmala0
Developed a secure RAG-based knowledge assistant to help companies search their documents without relying on public LLMs. The system uses FAISS to perform a semantic search and Phi-3 Mini (Ollama) to perform local inference to give accurate answers to the search query from the PDF document.
aby2024-pixel
No description available
gitsujal01
Enterprise RAG Knowledge Assistant is an AI-powered document search and question-answering system built using Streamlit, LangChain, FAISS, and Groq LLM. It allows users to upload PDFs, perform semantic search, chat with documents, view source citations, and analyze query insights through an interactive dashboard.
No description available