openclaw-surreal-search
OfficialFast graph+vector search for large knowledgebases
Software Engineering#provenance#surrealdb#knowledge-base#vector-search#ingest#graph-search#search-workflow
AuthorWayback-Project
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Large knowledge bases or corpora often require slow, disjointed search workflows that fail to reveal relational context and provenance. This skill provides a practical blueprint for a SurrealDB-backed workflow that unifies graph relationships, vector similarity, and temporal context to enable fast, contextual retrieval.
Core Features & Use Cases
- Graph+vector-temporal search over big knowledge bases for rapid, relevant results.
- Ingest, organize, and query corpus data with transparent references and provenance.
- Use cases include answering complex queries like "who did X, where?" with traceable results.
Quick Start
Start the local SurrealDB workflow and ingest your corpus to enable fast, contextual search.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: openclaw-surreal-search Download link: https://github.com/Wayback-Project/thewaytranslations/archive/main.zip#openclaw-surreal-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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