qpd-v-ragdocs
Integrates semantic search and retrieval of documentation using a vector database (Qdrant), enabling efficient access to large document collections.
- Score
- 94.3022 signals
- Evidence
- 136 stars · 60 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 Docs, catalogued on PulseMCP. Integrates semantic search and retrieval of documentation using a vector database (Qdrant), enabling efficient access to large document collections.
When to use it
Integrates semantic search and retrieval of documentation using a vector database (Qdrant), enabling efficient access to large document collections.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.