py-mcp-qdrant-rag A Model Context Protocol (MCP) server implementation for RAG (Retrieval-Augmented Generation) using Qdrant vector database with support for both Ollama and OpenAI embeddings.#2273
Closed
amornpan wants to merge 17 commits intomodelcontextprotocol:mainfrom
amornpan:main
Closed
Conversation
py-mcp-qdrant-rag (by amornpan) - A Model Context Protocol server implementation that provides RAG capabilities through Qdrant vector database integration, enabling Claude Desktop to perform semantic search and document retrieval with local or cloud-based embedding generation support across Mac, Linux, and Windows platforms.
Member
|
Thanks for your contribution to the servers list. This has been merged in this combined PR: #2370 This is a new process we're trying out, so if you see any issues feel free to re-open the PR and tag me. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
Server Details
Motivation and Context
How Has This Been Tested?
Breaking Changes
Types of changes
Checklist
Additional context