Search & Retrieval
patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Jupyter NotebookMITupdated Nov 1, 2026
Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.
$ git clone https://github.com/build-on-aws/llm-rag-vectordb-python.gitIn-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Build Real-Time Knowledge Graphs for AI Agents
An open-source RAG-based tool for chatting with your documents.
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
Data from GitHub · snapshot Nov 13, 2026