Document Processor
Extends AI assistants' knowledge by processing private documents and codebases into a searchable database.
About
The Document Processor enables AI assistants to access and search your private documents, codebases, and latest tech information, overcoming the limitations of LLM knowledge cutoffs. By processing Markdown, text, PDFs, and other document types into a searchable database, this tool extends AI knowledge beyond its initial training data, ensuring that AI assistants have access to the most up-to-date and relevant information. Built with Docker and supporting both free and paid embeddings, it seamlessly integrates into your workflow, keeping your AI assistants informed with your specific data.
Key Features
- Dockerized for easy setup and deployment.
- 5 GitHub stars
- Processes Markdown, text, and PDF files into a searchable database.
- Supports free local embeddings and paid OpenAI embeddings.
- Extends AI knowledge beyond initial training data.
- Configurable chunking and embedding parameters.
Use Cases
- Upgrade AI knowledge with the latest framework documentation.
- Import documentation on new APIs, protocols, or tools.
- Enable AI assistants to understand proprietary codebases.
Sponsored