Showing 1-12 of 12 projects
Self-hosted, open-source AI alternative to OpenAI with local LLM inference, no GPU required
A unified platform to manage and distribute AI models, supporting OpenAI, Claude, and Gemini formats for personal or enterprise use.
A Go-based framework for deep document understanding, semantic retrieval, and context-aware question answering using the RAG paradigm.
A Python library for using and fine-tuning over 900 large language models and multimodal models for various AI tasks.
Build and auto-optimize LLM applications with AdalFlow, a Python library.
MTEB is a benchmark for evaluating and comparing text embedding models across multiple tasks and languages.
Open-source embedding and re-ranking models for Netease Youdao's RAG (Retrieval-Augmented Generation) products.
A free, private DeepSeek RAG chatbot with hybrid retrieval, neural reranking, and HyDe for boosting chatbot performance.
A lightweight Python library that provides a unified API for common reranking and cross-encoder models.
Memory plugin for OpenClaw agents with hybrid vector+BM25 retrieval, cross-encoder reranking, and multi-scope isolation.
A Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL, useful for AI coding tools.
A unified framework for efficient fine-tuning and retrieval augmented generation (RAG) using LLMs.
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