The library allows users to store files, including remote webpages, local files, and text. It also enables semantic search, recommendation, and extractive question-answering. The `project_name` is an arbitrary string that acts as the "folder"/"index" in the database where data is stored, meaning data ingested for one project cannot be searched in another. Users can optionally store the OpenAI key and Database info in an `.env` file or as Bash shell variables. The full documentation provides more details, including how to customize the LLM, a REST API, and streaming search results. The creators of Simon are open to collaborations and provide enterprise support.
Key takeaways:
- Simon is a Python library that powers your entire semantic search stack including OCR, ingest, semantic search, extractive question answering, textual recommendation, and AI chat.
- It requires tools like PostgresQL 15 with the Vector Plugin, OpenAI API key, Python 3.9 or above, and optionally Java for OCR tooling.
- Simon allows you to store files, whether they are remote webpages, local files, or text, and then perform semantic search, recommendation, and question-answering on them.
- Simon provides full documentation for customizing your LLM, a REST API, and streaming your search results.