RAG
Provides cloud-based document management and semantic search using OpenAI embeddings with in-memory vector storage, enabling retrieval-augmented generation workflows through document ingestion, metadata filtering, and cosine similarity search.
About
A cloud-based RAG server that provides document management and semantic search capabilities using OpenAI's embedding and chat APIs. The implementation features an in-memory vector store with cosine similarity search, document ingestion tools for adding and managing text content with metadata, search functionality with filtering support, and utility tools for database statistics and management. Built with persistence support through JSON serialization and designed for cloud-only operation without local vector databases, it's useful for building AI assistants that need to search and retrieve information from custom document collections, knowledge bases, or content repositories.
Is this your product? Claim this listing with an email at your domain to post updates.
Is this your project?
Claim this listing to manage your page, access analytics, and unlock upgrades. Verification takes 60 seconds.
Share This Project
Embed Badge
Add this badge to your README:
[](https://hifriendbot.com/ai-list/rag/)
