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Enterprise LLM Engineering

sickn33/antigravity-awesome-skills

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

Enterprise LLM Engineering

sickn33/antigravity-awesome-skills

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

Azure AI Persistent Agents

azure-ai-agents-persistent-dotnet

sickn33/antigravity-awesome-skills

Azure AI Agents Persistent SDK for .NET exposes low-level control over threads, messages, runs, tools, and vector stores so developers can orchestrate long-running, stateful AI assistants hosted in Azure.

Azure AI Persistent Agents

azure-ai-agents-persistent-dotnet

sickn33/antigravity-awesome-skills

Azure AI Agents Persistent SDK for .NET exposes low-level control over threads, messages, runs, tools, and vector stores so developers can orchestrate long-running, stateful AI assistants hosted in Azure.

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.

Context Engineering Specialist

context-manager

sickn33/antigravity-awesome-skills

Provides elite guidance on dynamic context management, vector databases, knowledge graphs, intelligent memory, RAG, and multi-agent workflows so AI systems maintain relevant, actionable information across enterprise scenarios.

FAISS Similarity Search

Orchestra-Research/AI-Research-SKILLs

FAISS is Facebook AI’s high-speed similarity search library for billion-scale dense vectors, offering multiple index types plus GPU acceleration to support latency-sensitive k-NN retrieval without metadata filtering.

LangChain Agent Framework

Orchestra-Research/AI-Research-SKILLs

LangChain is a framework for building LLM-powered agents, chains, and RAG workflows with multi-provider support, vector stores, memory, and observability, ideal for rapid prototyping and production chatbots or question-answering systems.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex is a data framework that connects LLMs with documents via ingestion, indexing, and querying for RAG, chatbots, and knowledge retrieval, offering connectors, vector indices, query engines, and agents.

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.

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.

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