File Context
Enables querying Large Language Models with context derived from local files.
关于
File Context empowers users to query Large Language Models (LLMs) using context extracted from local files. Supporting various file types and LLM providers like Ollama and Together.ai, it facilitates context-aware responses by intelligently formatting and truncating file content for effective LLM processing. With features like dynamic file traversal, secure file handling, and a unified query interface, it's designed for modularity, type safety, and robust error handling, making file-based LLM interactions flexible and efficient.
主要功能
- Supports multiple LLM providers (Ollama, Together.ai).
- Provides dynamic file and directory traversal.
- Includes a REST API with OpenAPI/Swagger integration.
- Processes various file types to generate context-aware responses.
- Offers intelligent context formatting and truncation for LLM queries.
使用案例
- Querying documentation and notes using local files as context.
- Analyzing codebases by providing file context to LLMs.
- Automating context-aware responses based on data from local files.
Sponsored