kalicyh-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.
- Score
- 64.6192 signals
- Evidence
- 6 stars · 5 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server RAG, catalogued on PulseMCP. 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.
When to use it
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.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.