rags

An AI Assistant to answer user queries based on your own knowledge base!

Python package that makes it easy to spin up a custom Retrieval-Augmented Generation (RAG) pipeline.

This repository contains the implementation of a Retrieval-Augmented Generation (RAG) agent using Large Language Models (LLMs). RAG agents combine the power of information retrieval with text generation, enabling applications such as intelligent question-answering systems, and more.

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AI-powered PMO platform for project management, risk analysis, task management and project automation. 生成AIでPMO業務を支援・自動化するオープンソースAI-PMOプラットフォーム

In this repo implemented LLMs on custom data, using the power of Langchain and RAG.

🧠 rags-lab: A centralized repo for everything related to RAGs. Resources, Research, Notes, The Future, & more.

Foundations of AI Engineering | Projects + Tinker Labs | Sponsored by Anthropic

This Repository contains the real life use cases of Gen-Ai (Google's Gemini + Simple RAG) in Finance Domain. It helps in summarizing any articles , but will be useful for analyzing those lengthy and complicated financial articles .

Cultivating linguistic forests from YC startup pitches using bio-inspired grammar trees to map pitch patterns.

🏛️ Retrieval Augmented Generation Systems (GitHub Defaults): Central hub for organizational templates, guidelines, and standards.

This system functions as a domain-specific autonomous AI agent, using agent orchestration frameworks capable of contextual reasoning across multiple books, multimodal inputs and memory driven personalized learning.

Mutant is a red team and behavioral data generation library for LLMs, RAG pipelines, and AI Agents. It provides two powerful capabilities

Colab notebooks exploring topics in Data Science and AI, discussed on the blog: https://medium.com/@jgrygolec

Project42AR is an AI-powered application consisting of multiple services for data ingestion, agent workflows, logs for better AI Context Managment using RAGS and dashboard management.

Hands-on NLP & RAG engineering curriculum — 14 modules from document loaders to agentic LangGraph systems. Covers chunking, embeddings, vector DBs, hybrid search, RAGAS evaluation, and production FastAPI deployment.

A React-based visual interface that allows users to connect YouTube videos to chat nodes and interact with video content through a conversational interface.

Build RAG applications in Python with Gradient in minutes

MSc thesis: Comparative analysis of TF-IDF vs SBERT retrieval in RAG systems