rag
Architecting for Speed: Integrating zvec into Your Embedded AI Pipeline
If you’ve ever felt that spinning up a full Milvus or Pinecone cluster for a small project was like using a sledgehammer to crack a nut
The Software Engineer's Deep Dive into LLM-Powered Agent Architectures
This project, titled "《从零开始构建智能体》——从零开始的智能体原理と実践教程" (Building Agents From Scratch A Tutorial on Agent Principles and Practice), is designed to be a comprehensive
LightRAG: A Software Engineer's Guide to Faster, Smarter RAG with Knowledge Graphs
LightRAG is a novel framework for Retrieval-Augmented Generation (RAG) that aims to be simple, fast, and more accurate by leveraging graph structures in the retrieval process
DataEase SQLBot: Bridging the Gap Between Natural Language and SQL
As a software engineer, you're constantly interacting with databases. DataEase SQLBot offers several key advantagesAccelerated Development Instead of spending time crafting intricate SQL queries
Building RAG-Based Chatbots with Cinnamon/kotaemon
Cinnamon/kotaemon is an open-source tool designed to build a Retrieval-Augmented Generation (RAG) chatbot. In simple terms
Shubhamsaboo/awesome-llm-apps
The Shubhamsaboo/awesome-llm-apps repository is a fantastic resource for software engineers looking to dive into the world of Large Language Model (LLM) applications
Demystifying LLMs: A Software Engineer's Deep Dive into datawhalechina/happy-llm
Let's dive into datawhalechina/happy-llm from a software engineer's perspective. This repository looks incredibly useful
Graphiti: Building Real-Time Knowledge Graphs for AI Agents
At its core, getzep/graphiti is a library designed to help you create and manage knowledge graphs. But it's not just any knowledge graph; it's optimized for real-time interaction and for use with AI agents