Showing 181-200 of 267 projects
A curated collection of must-read papers and blogs on large language model-based long-context modeling.
An open-source AI-powered platform for building intelligent agents and applications with built-in citations, deep research, and more.
A developer-focused platform for text-to-speech, RAG, and LLMs, with local-first architecture.
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit.
Open-source embedding and re-ranking models for Netease Youdao's RAG (Retrieval-Augmented Generation) products.
A comprehensive guide for building production-ready RAG-based LLM applications using the Ray framework.
Fast local PDF-to-Markdown/JSON converter for RAG pipelines. No GPU needed.
A command-line tool to search and download full transcripts of YouTube videos for semantic search and analysis.
A survey paper that proposes a taxonomy of Retrieval-Augmented Generation (RAG) techniques for AI-Generated Content (AIGC).
An AI-powered knowledge base and workflow agent platform for WeChat public accounts, aimed at becoming a leading vertical AI assistant.
A comprehensive project covering AI-powered coding tools, MCP frameworks, and backend-as-a-service for building AI-driven applications.
A flexible PHP framework for building production-ready AI-driven applications with modular components like LLMs and vector databases.
An open-source library that simplifies the use of Retrieval-Augmented Generation (RAG) with small language models.
Memory management framework for AI agents with RAG, persistence, and context refinement capabilities.
A free, private DeepSeek RAG chatbot with hybrid retrieval, neural reranking, and HyDe for boosting chatbot performance.
An open-source project focused on building a large language model that understands human emotions and relationships, with tutorials on prompt engineering, RAG, agents, and LLM fine-tuning.
Secure and local AI desktop app with built-in RAG knowledge base and Markdown note support for vibe coders.
This is a large language model (LLM) focused on mental health, with pre/post-training, datasets, evaluation, and deployment tools.
Powerful, fast, and efficient unstructured data extraction library written in Rust with language bindings.
A Python-based desktop AI assistant that integrates with various LLMs and AI tools for coding, task automation, and more.
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