rag-systems

Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization

embeddingsvector-storechunkingretrieval-augmented-generation

pluginagentmarketplace

1

vector-databases

Vector database selection, indexing strategies, and semantic search optimization.

vector-storeindexing-strategysemantic-searchdatabase-selection

pluginagentmarketplace

1

qdrant

Qdrant vector database REST API via curl. Use this skill to store, search, and manage vector embeddings.

vector-storesemantic-searchrestcurl

vm0-ai

0

siliconflow-api-skills

硅基流动（SiliconFlow）云服务平台文档。用于大语言模型 API 调用、图片生成、向量模型、在 Claude Code 中使用硅基流动、Chat Completions API、Stream 模式等。

apiclaude-skillsimage-generationvector-store

wwwzhouhui

0

context-engine

Codebase search and context retrieval for any programming language. Hybrid semantic/lexical search with neural reranking. Use for code lookup, finding implementations, understanding codebases, Q&A grounded in source code, and persistent memory across sessions.

codebase-analysisretrieval-augmented-generationvector-storemulti-language

m1rl0k

31834

qmd

Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.

clivector-storebm25reranking

steipete

0