jumasheff-ragdocs-vector-documentation-search
Enables semantic documentation search and retrieval using vector databases, allowing for URL extraction, source management, and indexing queues with support for multiple embedding providers including Ollama and OpenAI.
- Score
- 29.0132 signals
- Evidence
- 1 star · 1 fork
- 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 RAGDocs (Vector Documentation Search), catalogued on PulseMCP. Enables semantic documentation search and retrieval using vector databases, allowing for URL extraction, source management, and indexing queues with support for multiple embedding providers including Ollama and OpenAI.
When to use it
Enables semantic documentation search and retrieval using vector databases, allowing for URL extraction, source management, and indexing queues with support for multiple embedding providers including Ollama and OpenAI.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.