文章摘要
A local Retrieval Augmented Generation (RAG) server can be built to enhance AI coding capabilities.
- The system utilizes Ollama for running local large language models, LlamaIndex for data indexing and retrieval, and Open-WebUI for user interaction.
- This setup addresses the challenge of AI coding assistants often lacking up-to-date or domain-specific documentation.
- Building a custom RAG server improves AI coding accuracy, reduces hallucinations, and enables local, private data processing.
- The RAG server integrates with AI coding assistants, exemplified by the Continue.dev VS Code extension, providing a tailored knowledge base for developers.
- This approach offers significant benefits including enhanced data privacy and the ability to customize context for specific codebases or internal documentation.