zilliztech/milvus-marketplace

clustering

Use when user needs to group similar items together. Triggers on: clustering, group similar, topic modeling, user segmentation, categorization, automatic classification, unsupervised grouping.

原文の言語: 英語

duplicate-detection

Use when user needs to find duplicate or similar content. Triggers on: duplicate, deduplication, plagiarism detection, similar content, near-duplicate, similarity detection, content dedup, find copies.

原文の言語: 英語

chat-memory

Use when user needs long-term memory for chatbots. Triggers on: chat memory, conversation history, long-term memory, chatbot memory, memory retrieval, persistent memory, remember conversations.

原文の言語: 英語

image-search

Use when user wants to build image search or similar image finding. Triggers on: image search, similar image, visual search, image retrieval, CLIP, reverse image search, image matching, find similar photos.

原文の言語: 英語

multimodal-rag

Use when user needs RAG on documents with images and text. Triggers on: multimodal RAG, image-text mixed, document with images, PDF with charts, visual RAG, visual Q&A, documents with figures.

原文の言語: 英語

text-to-image-search

Use when user needs to search images using natural language descriptions. Triggers on: text to image, describe and find, natural language image search, image caption search, find image by description, describe to find.

原文の言語: 英語

video-search

Use when user needs to search video content by text or image. Triggers on: video search, video retrieval, video clips, meeting recordings, tutorial videos, surveillance playback, find moment in video.

原文の言語: 英語

agentic-rag

Use when user needs an autonomous RAG agent that decides when and what to retrieve dynamically. Triggers on: agentic RAG, agent, autonomous retrieval, tool use, function calling, research agent, conversational RAG, dynamic retrieval, self-directed search, RAG…

原文の言語: 英語

multi-hop-rag

Use when user needs multi-step reasoning with iterative retrieval for complex questions. Triggers on: multi-hop, multi-step RAG, complex questions, chain of retrieval, iterative retrieval, complex reasoning, cross-document reasoning, question decomposition,…

原文の言語: 英語

rag

Use when user wants to build RAG, Q&A system, or knowledge base with documents. Triggers on: RAG, retrieval augmented generation, Q&A system, knowledge base, document Q&A, chat with docs, ChatGPT for docs, LLM + retrieval, semantic search over documents,…

原文の言語: 英語

rag-with-rerank

Use when user needs high-precision RAG with reranking for domains where accuracy is critical. Triggers on: rag rerank, precise RAG, cross-encoder, reranking RAG, legal QA, medical QA, high-precision QA, two-stage retrieval, semantic reranking, improve RAG…

原文の言語: 英語

item-to-item

Use when user needs to find similar items. Triggers on: similar items, related content, related products, more like this, similar products, related articles, content-based recommendation, you may also like.

原文の言語: 英語

user-to-item

Use when user needs personalized recommendations based on user profile. Triggers on: personalized, user recommendation, personalized recommendations, for you, feed, user preference, homepage recommendations.

原文の言語: 英語

contextual-retrieval

Use when user needs parent-child document retrieval with context expansion. Triggers on: contextual retrieval, parent document, hierarchical chunking, context window, small-to-big, child chunks with parent context.

原文の言語: 英語

filtered-search

Use when user needs vector search with scalar field filtering. Triggers on: filtered search, filter by category, metadata filter, faceted search, conditional search, attribute filtering, search with constraints.

原文の言語: 英語

hybrid-search

Use when user needs both keyword and semantic search combined. Triggers on: hybrid search, keyword + semantic, BM25, full-text search, combined search, lexical search, exact match with meaning.

原文の言語: 英語

multi-vector-search

Use when user needs to search across multiple vector fields. Triggers on: multi-vector, multiple embeddings, multi-field search, title + content, combined vectors, different aspects of same item.

原文の言語: 英語

semantic-search

Use when user wants to build semantic/text search. Triggers on: semantic search, text search, full-text search, natural language search, find similar text, vector search, meaning-based search, conceptual search.

原文の言語: 英語

embedding

Use when user needs to convert text/images to vectors. Triggers on: embedding, vectorize, encode, text-to-vector, model selection, sentence-transformers, OpenAI embeddings, BGE, CLIP.

原文の言語: 英語

pilot

Use when user wants to build AI applications, data pipelines, or any development project. Triggers on: AI application, build, project, data, pipeline, API, service, backend, LLM, GPT, Claude, model. Also expert in: vector, RAG, embedding, semantic search,…

原文の言語: 英語

ray

Use when user needs to process data at scale. Triggers on: batch processing, data ingestion, pipeline, parallel processing, GPU acceleration, video processing, PDF processing, large-scale.

原文の言語: 英語

indexing

Use when user needs to create collections, indexes in Milvus. Triggers on: indexing, collection, create index, HNSW, IVF, schema, Milvus collection, vector storage.

原文の言語: 英語

local-setup

Use when user needs to set up Milvus locally. Triggers on: local setup, install milvus, docker, docker-compose, dev environment, milvus standalone, milvus lite.

原文の言語: 英語

chunking

Use when user needs to split documents into chunks for RAG or search. Triggers on: chunking, split, chunk size, text splitter, token limit, overlap.

原文の言語: 英語

rerank

Use when user needs to improve search relevance with reranking. Triggers on: rerank, relevance, cross-encoder, search quality, top-k reranking, second-stage ranking.

原文の言語: 英語