Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling

AWS Breaking Barriers Hackathon WINNER: A personalized learning platform powered by Claude Haiku (A foundational model on AWS Bedrock) which processes educational documents (textbooks, pdfs) and generates tailored educational content utilizing RAG with built in accessibility and inclusion features.

AI-powered pharmaceutical pricing analytics: ensemble anomaly detection, RAG regulatory Q&A, and Claude Haiku agent — all in a Streamlit dashboard

Production-ready AI chatbot for Supabase customer support. Features: RAG pipeline, vector search (ChromaDB), Claude 3 Haiku, intent classification, analytics dashboard. 60% automation, 3s response time.

Financial Agentic RAG with Claude Haiku and LangGraph

Information Extraction from Toyota Motor Corporation's Financial Results Briefing　　トヨタ自動車の決算短信からの情報抽出

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Notion RAG Chatbot with AWS CDK and Claude 3 Haiku

Zorro: RAG AI chatbot for Axent, leveraging Claude Haiku and OpenAI embeddings.

Testing some agents and small RAG by using cluade haiku 4.5

Conversational Recipe Q&A Assistant using RAG with TF-IDF and Claude 3 Haiku

An implementation of RAG using LlamaIndex, with Claude (Sonnet & Haiku), Gemma & BAAI's reranker

D&D 5e RAG chatbot — semantic search over the DMG & PHB with Claude Haiku

AI-powered guidance tool for IT support specialists — RAG pattern with Claude Haiku, FastAPI, SQLite

Interactive RAG Pipeline Demo — BM25 retrieval + Claude Haiku generation. Shows chunking, scoring, and source-cited answers.

Autonomer Meta-Agent-Orchestrator: Claude Opus 4.6 orchestriert Haiku-Brainstormer, NotebookLM-RAG und Codex-Instanzen

The Streamlit App host for Zorro: RAG AI chatbot for Axent, leveraging Claude Haiku and OpenAI embeddings.

A Retrieval-Augmented Generation (RAG) chatbot that answers questions from PDFs using Claude 3 Haiku and LangChain.

Sia — AI-powered RAG chatbot for Shailza's product portfolio. Built with Claude Haiku, OpenAI embeddings, ChromaDB & Streamlit.

🌤️ AI weather chatbot with RAG knowledge base and Databricks Genie analytics — powered by Claude Haiku 4.5

Multi-Application RAG System with Claude 3 Haiku - Advanced retrieval-augmented generation system supporting multiple applications with AWS integration

A cloud-native chatbot built with Amazon Lex, Bedrock (Claude 3 Haiku + Titan Embeddings), and S3 using Retrieval-Augmented Generation (RAG).

Demo Medical Policy LLM RAG chatbot deployed on AWS EKS using Claude 3 Haiku (Python/FastAPI/LangChain/Docker/AWS Bedrock/Kubernetes/Helm)

Serverless RAG-based HLD document generator using AWS Bedrock (Titan Embeddings + Claude 3 Haiku) to transform Business Requirement Documents into structured architecture documentation.

Assistente meteorológico com RAG + LLM (Claude Haiku) que transforma dados públicos do INMET e Open-Meteo em respostas em linguagem natural — foco em prevenção de desastres na Zona da Mata mineira.

MILA: A Nurturing RAG-based AI Assistant for MULA Yoga Studio. Built with Next.js, Supabase Vector, OpenAI Embeddings, and Claude 3 Haiku. Features hybrid search, strict business logic, and multilingual support.

This repository contains a RAG Model. The model takes a text question as input and generates the step-by-step solution and final answer by leveraging the capabilities of Claude, HaiKu, and llama-index.

Amazon Bedrock Knowledge Bases × OpenSearch Serverless でネイティブ RAG を実装した PoC。Titan Embed Text v2 によるセマンティック検索 + Claude 3 Haiku で日本語 Q&A を実現。

Case study: Claude Haiku 4.5 scores 100% on entity extraction from 11.7K-word legal documents without prompt repetition. Testing whether Google Research's 'repeat your prompt' technique (Dec 2025) is needed for current-gen models on enterprise RAG tasks.

An intelligent RAG application built with Streamlit that allows users to chat with their own PDFs using AWS Bedrock’s Claude 3 Haiku, Llama3 70B, and Titan models. It integrates Titan Embeddings, FAISS vector search, and LangChain to generate accurate, context-aware responses with source transparency and a clean interactive UI.