Reading
This open-source repository collects a series of AI agent implementations that use large language models, automated workflows, and data pipelines to solve practical problems.
Section 01
This open-source repository collects a series of AI agent implementations that use large language models, automated workflows, and data pipelines to solve practical problems.
Section 02
AI-Automation-Agents is a practical AI agent collection project aimed at demonstrating how to use large language models (LLMs), automated workflows, and data pipelines to solve real-world problems.
Section 03
Section 04
This project is suitable for the following scenarios:
Section 05
For developers who want to understand how to apply LLMs to real business scenarios, this project provides valuable practical references.
Section 06
Keep going with more reads from the same topic.
Splinter is a minimalist, high-performance key-value (KV) and vector storage system enabling zero-latency inter-process communication via shared memory and atomic operations. With only 766 lines of core code, it supports millions of operations per second and 768-dimensional vector storage, offering a new architectural approach for local LLM inference and data-intensive applications.
LiteMind is a Python framework that provides developers with a unified API to integrate mainstream LLM providers such as OpenAI, Anthropic, Google Gemini, and Ollama. It supports multimodal input/output, tool calling, RAG enhancement, and agent construction.
OmniRoute is an open-source AI gateway that integrates over 67 large model providers through a single OpenAI-compatible endpoint. It offers intelligent routing, load balancing, automatic degradation, and quota management, helping developers get the most available AI services at the lowest cost.
This article introduces an open-source multimodal RAG framework based on Google Gemini Embedding 2, which can uniformly handle embedding and retrieval of four media types: text, images, videos, and audio. Combined with Supabase pgvector vector database and OpenRouter large language models, it provides a complete production-level retrieval-augmented generation pipeline.