vector-store-workflow
CommunityOrchestrate vector store & embeddings workflow.
Software Engineering#embeddings#qdrant#chunking#semantic-search#vector-store#incremental-updates#embedding-provider
AuthorsmitkhanparaZuru
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Complete step-by-step guidance for building and maintaining a robust vector store and embedding workflow for semantic code search in AICA.
Core Features & Use Cases
- Configuration of multiple embedding providers (Ollama or OpenRouter) and a pluggable provider facade
- End-to-end vector store setup with Qdrant, including collection creation, indexing, and search
- AST-based chunking strategies for functions, components, and types, with incremental embedding updates
- Semantic search with filters (chunk type, feature, file pattern) and re-ranking for relevance
- End-to-end indexing CLI and programmatic workflows for indexing, updating embeddings, and querying results
- Guidance for incremental updates and troubleshooting
Quick Start
Configure an embedding provider, set up Qdrant, index a repository, and perform a semantic code 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: vector-store-workflow Download link: https://github.com/smitkhanparaZuru/AI-Coding-Automation/archive/main.zip#vector-store-workflow Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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