This is the Linux app named rag-search whose latest release can be downloaded as rag-searchsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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rag-search
DESCRIPTION
rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. The system supports configurable filtering, scoring thresholds, and reranking options, allowing developers to fine-tune retrieval quality. Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data.
Features
- FastAPI-based RAG backend service
- Vector database integration for semantic retrieval
- Configurable reranking and filtering controls
- Support for external web search providers
- Token-based API authentication
- Modular Python service architecture
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rag-search.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
