haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
huggingface-classifier
Hugging Face transformer model fine-tuning and inference for intent classification
langchain-chains
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
langchain-memory
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
langchain-tools
LangChain tool creation and integration utilities for agent systems
langfuse-integration
LangFuse LLM observability integration for tracing, analytics, and cost tracking
langgraph-checkpoint
LangGraph checkpoint and persistence configuration for stateful workflow management
langgraph-hitl
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
langgraph-routing
Conditional edge routing and state-based transitions for LangGraph workflows
langgraph-state-graph
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
langgraph-subgraph
Subgraph composition and modular workflow design for LangGraph
langsmith-tracing
LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
llamaindex-agent
LlamaIndex agent and query engine setup for RAG-powered agents
llm-classifier
LLM-based zero-shot and few-shot classification for flexible intent detection
mcp-app-scaffolding
Scaffolds MCP App project structure with correct directory layout, dependencies, entry points, and framework-specific templates. Handles React (useApp hook), Vanilla JS, Vue, Svelte, Preact, and Solid.
mcp-app-verification
Comprehensive verification checklists for MCP Apps. Tests with basic-host reference, validates handler-before-connect, text fallback, resource URI linking, single-file bundling, host styling, CSP, and legacy pattern detection.
mcp-csp-investigation
Comprehensive Content Security Policy audit for MCP Apps in sandboxed iframes. Discovers all network origins, traces them to source, and generates CSP configuration for registerAppResource.
mcp-host-styling-integration
Integrates MCP App UI with host theming system. Applies host CSS variables, handles onhostcontextchanged, safe area insets, display mode detection, and fullscreen configuration.
mcp-tool-resource-pattern
Implements the core MCP Apps architectural pattern where a Tool declares _meta.ui.resourceUri referencing a registered Resource. Covers registerAppTool, registerAppResource, text fallback, structuredContent, and app-only helper tools.
medical-agent
Build medical AI agents for clinical decision support, medical record summarization, diagnostic assistance, and healthcare workflow automation.
mem0-integration
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
memory-summarization
Conversation summarization for memory compression and context management
milvus-integration
Milvus distributed vector database configuration for large-scale RAG applications
multi-app-orchestration
Orchestrate workflows across multiple applications and APIs — inter-app coordination, data handoff, and multi-system task completion.
multi-turn-tool-use
Design agents for multi-turn tool use — sequential tool calls, result accumulation, error recovery, and complex task decomposition over multiple turns.
nemo-guardrails
NVIDIA NeMo Guardrails configuration for conversational safety and control
opentelemetry-llm
OpenTelemetry instrumentation for LLM applications with distributed tracing
phoenix-arize-setup
Arize Phoenix observability platform setup for LLM debugging and evaluation
pii-redaction
PII detection and redaction utilities for privacy-compliant conversational AI
pinecone-integration
Pinecone vector database setup, configuration, and operations for RAG applications
prompt-compression
Token-efficient prompt compression techniques for cost optimization
prompt-injection-detector
Prompt injection detection and prevention for secure LLM applications
prompt-template-design
Structured prompt template creation with variables, formatting, and version control
qdrant-integration
Qdrant vector database with filtering, payloads, and quantization support
rag-chunking-strategy
Document chunking with multiple strategies including semantic, recursive, and fixed-size chunking
rag-embedding-generation
Batch embedding generation with caching, rate limiting, and multiple provider support
rag-hybrid-search
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
rag-query-transformation
Query expansion, HyDE, and multi-query generation for improved retrieval
rag-reranking
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
rasa-nlu-integration
Rasa NLU pipeline configuration and training for intent and entity extraction
redis-memory-backend
Redis backend for conversation state persistence and caching
semantic-kernel-setup
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
setfit-few-shot
SetFit few-shot learning for efficient intent classification with minimal data
single-file-bundling
Configure Vite with vite-plugin-singlefile for mandatory single-file HTML bundling of MCP Apps. All assets (JS, CSS, images, fonts) must be inlined into a single HTML file for sandboxed iframe compatibility.
spacy-ner
spaCy NER model training and entity extraction for conversational AI
visual-pattern-induction
Induce visual patterns from examples — few-shot visual reasoning, grid-based pattern recognition, and ARC-style inductive inference.
weaviate-integration
Weaviate vector database setup with GraphQL queries and hybrid search
zep-memory-integration
Zep memory server integration for long-term conversation memory and user profiling
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