search-vector-architect
CommunitySpeedy, accurate search for text and embeddings.
Authork1lgor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enables fast, accurate retrieval across both keyword-based and embedding-based search for AI-powered applications.
Core Features & Use Cases
- Elasticsearch/OpenSearch setup with proper mappings and analyzers for text relevance.
- Vector search integration with Pinecone, Chroma, or pgvector to store and query embeddings.
- Hybrid search blending BM25 and vector similarity for improved results.
- RAG pipelines that chunk documents and feed top chunks to LLMs for answering questions.
Quick Start
Set up a basic Elasticsearch/OpenSearch index and a simple vector store with OpenAI embeddings to enable retrieval.
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: search-vector-architect Download link: https://github.com/k1lgor/virtual-company/archive/main.zip#search-vector-architect Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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