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#

rag-systems

Here are 21 public repositories matching this topic...

A modular framework for building and deploying Retrieval-Augmented Generation (RAG) systems with built-in evaluation and monitoring.

  • UpdatedNov 26, 2025
  • Python

Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.

  • UpdatedAug 21, 2024
  • Jupyter Notebook

🤖 Production-ready samples for building multi-modal AI agents that understand images, documents, videos, and text using Amazon Bedrock and Strands Agents. Features Claude integration, MCP tools, streaming responses, and enterprise-grade architecture.

  • UpdatedNov 14, 2025
  • Jupyter Notebook

Turn any LLM into a self-extending knowledge agent powered by a graph-structured memory - complete with PDF-to-graph ingestion, budget-aware optimisation, and dual-engine orchestration.

  • UpdatedJun 15, 2025
  • Python

RAG Gateway Service 🚪🤖: FastAPI gateway that auto-detects query topics using OpenAI embeddings 🧠🔍 and routes requests to topic-specific RAG agents 🎯, with fallback support and Docker-ready 🚀🐳.

  • UpdatedMay 21, 2025
  • Python

The course provides a comprehensive guide to optimizing retrieval systems in large-scale RAG applications. It covers tokenization, vector quantization, and search optimization techniques to enhance search quality, reduce memory usage, and balance performance in vector search systems.

  • UpdatedDec 28, 2024
  • Jupyter Notebook

This project implements a Retrieval-Augmented Generation (RAG) based chatbot designed to handle university-related queries using natural language understanding. It combines semantic search with generative AI to provide precise, context-aware answers to students, faculty, and visitors.

  • UpdatedJun 22, 2025
  • Jupyter Notebook
4ts-standard

Training Data Generator for SPLADE Model Fine-tuning

  • UpdatedApr 13, 2025
  • Python

This repository covers extensive tutorials on how to integrate LangSmith with LangChain with LangGraph to incorporate observability, monitoring, alerting, evaluation, etc. within complex LLM workflows and applications.

  • UpdatedAug 21, 2025
  • Python

Advanced Retrieval-Augmented Generation system supporting multimodal document processing (text, tables, images) with multiple reasoning strategies and comprehensive evaluation framework.

  • UpdatedJun 18, 2025
  • Jupyter Notebook

This project processes and retrieves information from PDF file or PDF collection. It leverages Qdrant as a vector database for similarity searches and employs a Retrieval-Augmented Generation (RAG).

  • UpdatedApr 11, 2025
  • Python

A comprehensive Asset Administrative Shell (AAS) data modeling platform for Quality Infrastructure systems. Features AASX package processing, digital twin management, AI-powered analytics with RAG, and multi-format data transformation capabilities.

  • UpdatedSep 12, 2025
  • Python

🚀 Complete AI Development Toolkit Template - Add RAG, MCP, and AI assistance to any project in 2 minutes

  • UpdatedNov 9, 2025
  • JavaScript

Decision-level observability for LLM pipelines, making system behavior explainable even when no outputs exist.

  • UpdatedFeb 3, 2026
  • Python

⚡ Generate dynamic CRUD and Auth routes effortlessly with FastAPI Auto Routes for SQLModel—no repetitive boilerplate needed.

  • UpdatedFeb 20, 2026
  • Python

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