VectorHub
Deprecated repo for developing SIE, an inference engine for embeddings, reranking, OCR, extraction, and document processing
GraphCanon updated 4w · GitHub synced 4w
Decision brief
VectorHub hosts Superlinked's deprecated repository for SIE, a self-hosted inference engine designed for embedding generation, OCR, extraction, and document processing tasks.
Good fit when
- Use VectorHub if you require legacy code support for embedding generation, reranking models, or document processing functionalities that are not available in the current version of SIE.
- It is applicable when you want to explore past versions of SIE's functionalities without relying on the most recent updates.
Avoid when
- Avoid VectorHub if you need a more modern and updated inference engine as its repository has been deprecated.
- Do not use this tool for production-level work requiring active support or frequent updates, given that it is marked as historical code.
Observed Jul 15, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/superlinked/VectorHubHow it fits your stack(2)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository contains the source code and documentation for SIE, Superlinked's self-hosted inference engine designed to support a variety of functionalities including embedding generation, document processing, optical character recognition, reranking models, and information extraction tasks.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Jul 21, 2026
Categories
Tags
README
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
For agents
This page has a .md twin and JSON over the API.