使用 tldw_server 运行自托管媒体研究和 RAG 工作流
Use tldw_server when an agent workflow needs to ingest video, audio, documents, and web pages into a local research layer with RAG, evals, OpenAI-compatible APIs, and MCP access.
Prerequisites
Python 3.10+, ffmpeg, Docker or local Python setup, tldw_server, optional LLM/STT/TTS providers, optional MCP client
Installation
Requirements and caveats from upstream:
- We analyze the performance of language models on two tasks that require identifying relevant information in their input contexts: multi-document question answering and key-value retrieval. We find that performance can...
Basic usage or getting-started notes:
- Can be used to run LLMs on Windows, Linux, and MacOS with a single binary wrapper around Llama.cpp.
- For commercial API usage for use with this project: GPT-5.1, Anthropic's models(The Temu of AI services/models), Kimi k2, DeepSeek
- 2025 Nov: I would say service quality has improved enough to the point where it can make sense to use a 'premium' subscription/usage of API services without expecting to be screwed 7-8/10 times.
- Source: https://github.com/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/rmusser01/tldw_server/HEAD/README.md
Documentation
- https://tldwproject.com
