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Chroma Embedding Database

Orchestra-Research/AI-Research-SKILLs

Chroma is an open-source embedding database that stores vectors and metadata, supports lightweight local usage through a simple four-function API, and scales from notebooks to production for semantic search, RAG, and document retrieval.

CLIP Vision-Language

Orchestra-Research/AI-Research-SKILLs

OpenAI's CLIP links vision and language for zero-shot image classification, semantic search, content moderation, and cross-modal retrieval without fine-tuning, making it ideal for pipelines needing fast image-text matching or vector search.

Exa Architecture Variants

exa-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through choosing and implementing validated Exa deployment architectures—from direct search to cached semantic layers and RAG pipelines—so integrations scale from simple apps to high-query, AI-enhanced solutions.

Mistral Embeddings Function Workflow

mistral-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides running Mistral AI secondary workflows for embeddings and function calling, covering semantic search, RAG pipelines, and tool-augmented chats.

GPU Curated Training Data

Orchestra-Research/AI-Research-SKILLs

NeMo Curator runs GPU-accelerated data curation for LLM training, covering text, image, video, and audio pipelines with fuzzy/semantic deduplication, quality classifiers, and PII/NSFW filters before scaling across RAPIDS clusters.

Pinecone Managed Vector DB

Orchestra-Research/AI-Research-SKILLs

Pinecone provides a fully managed, auto-scaling vector database with hybrid search, metadata filtering, and namespace isolation for low-latency production RAG, recommendation, and semantic search workloads.

Multi-Level Prompt Caching

sickn33/antigravity-awesome-skills

Caches LLM prompts and responses across prefixes, full outputs, and semantic similarity layers to slash inference costs while isolating cache invalidation risks and temperature variance.

Qdrant Vector Search

qdrant-vector-search

Orchestra-Research/AI-Research-SKILLs

High-performance Rust-based vector similarity engine for production RAG and semantic search, enabling hybrid filtering, multi-vector storage, distributed scaling, and REST/gRPC access for low-latency recommendations and retrieval.

Document Retrieval Engineer

sickn33/antigravity-awesome-skills

Designs retrieval-augmented generation flows by chunking documents, tuning embeddings, and orchestrating semantic and hybrid search so LLMs receive high-quality context for precise answers.

Semanticscholar MCP Automation

semanticscholar-automation

ComposioHQ/awesome-claude-skills

Automates Semanticscholar workflows through Composio’s Semanticscholar toolkit via Rube MCP, covering tool discovery, connection verification, session reuse, and schema-compliant multi-tool execution for reliable research automation.

Sentence Transformers Embeddings

sentence-transformers

Orchestra-Research/AI-Research-SKILLs

High-quality Sentence Transformers framework that ships 5000+ pretrained models for multilingual, multimodal, and domain-specific embeddings; ideal for RAG, semantic search, clustering, and production vector stores without relying on external APIs.

Similarity Search Patterns

similarity-search-patterns

sickn33/antigravity-awesome-skills

Guides efficient similarity search with vector stores for semantic search, RAG retrieval, recommendation engines, API latency optimization, and scaling to millions of vectors.

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