Similarity Search Api Sdk
by similarity-search-api-production.up.railway.app in Search & web
Stateless NMI + cosine fusion with entropy-driven alpha calibration
https://similarity-search-api-production.up.railway.app/mcp- Tools
- 3
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 1.1 s
- 1.5 s slowest 5%
- Last check
- Passed
- 7 h ago, next any minute now
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"similarity-search-api-sdk": {
"type": "http",
"url": "https://similarity-search-api-production.up.railway.app/mcp"
}
}
}3 tools
- nexus_similarity_search_api_rank_items_by_nmi_cosine_fusion
Ranks a corpus of items against a query vector using a calibrated fusion score (alpha * cosine + (1-alpha) * NMI_normalizado), where alpha is auto-derived from the corpus's marginal entropy unless overridden. Results are identified by their 0-indexed position in corpus_vectors…
- nexus_similarity_search_api_estimate_corpus_entropy_profile
Computes the aggregate entropy-calibrated alpha for a corpus without running a full search -- useful to inspect before committing to a large rank_items_by_nmi_cosine_fusion call. Returns a single aggregate corpus_entropy value, NOT a per-dimension breakdown -- the real logic…
- nexus_similarity_search_api_score_pair_nmi_cosine
Computes the NMI-cosine fusion score for exactly one (query, target) vector pair at a fixed alpha. Use for explainability, debugging, or unit-level validation of fusion scores before running full corpus ranking. Unlike corpus-level ranking, alpha is NOT auto-calibrated for a…
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| When | Result | HTTP | Time |
|---|---|---|---|
| 7 h ago | Passed | 200 | 613 ms |
| 17 h ago | Passed | 200 | 1.1 s |
| 27 h ago | Passed | 200 | 1.3 s |
| 37 h ago | Passed | 200 | 1.1 s |
| 2 days ago | Passed | 200 | 899 ms |
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| 2 days ago | Passed | 200 | 762 ms |
| 3 days ago | Passed | 200 | 958 ms |
| 3 days ago | Passed | 200 | 1.2 s |
| 4 days ago | Passed | 200 | 1.5 s |
| 4 days ago | Passed | 200 | 1.1 s |
| 4 days ago | Passed | 200 | 1.2 s |
| 5 days ago | Passed | 200 | 1.3 s |
| 5 days ago | Passed | 200 | 1.2 s |
| 6 days ago | Passed | 200 | 1.1 s |
| 6 days ago | Passed | 200 | 988 ms |