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name: integrations-export description: "Integrate RAGatouille with LangChain or LlamaIndex-style pipelines and plan Hugging Face or Vespa exports safely." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

RAGatouille Integrations and Export

Use this sub-skill when a task asks to connect RAGatouille to another RAG framework, expose an indexed or reranking model through LangChain adapters, load documents through LlamaIndex/LlamaHub-style loaders, or prepare a model export handoff.

Route Here For

• LangChain adapters: RAGPretrainedModel.as_langchain_retriever, as_langchain_document_compressor, RAGatouilleLangChainRetriever, and RAGatouilleLangChainCompressor.
• LlamaIndex/LlamaHub-style loader patterns that turn external loader documents into strings for RAGatouille indexing.
• Export planning with export_to_huggingface_hub and export_to_vespa_onnx, including auth, repo naming, optional ONNX generation, and no-upload dry-run checks.
• Compatibility checks for legacy langchain imports, langchain_core, llama_index, huggingface_hub, onnx, and credential/network side effects.

Route Away

• Use ../pretrained-indexing-search/SKILL.md for loading checkpoints, building/updating indexes, metadata indexing, and search result schemas.
• Use ../index-free-reranking/SKILL.md for in-memory rerank, encode, search_encoded_docs, and result-shape details behind compressor behavior.
• Use ../training-data-finetuning/SKILL.md for training, synthetic training data, and checkpoint creation before export.

Start Here

1. From this sub-skill directory, run the bundled compatibility checker before debugging framework wiring: python scripts/check_integration_imports.py --json
2. Read references/api-reference.md for exact adapter and export signatures.
3. Read references/workflows.md for framework recipes and safe export handoffs.
4. Read references/troubleshooting.md when imports, loaders, auth, uploads, tokenizer, or ONNX conversion fail.

Safety Defaults

• Do not call from_pretrained, from_index, loader APIs, export_to_huggingface_hub, or export_to_vespa_onnx during lightweight verification unless the user explicitly approves model loads, network calls, local checkpoint reads, or uploads.
• Treat LlamaHub/LlamaIndex loaders, Hugging Face Hub uploads, OpenAI/instructor-style examples, and Semantic Scholar/PubMed/PDF loaders as external-network or credential-bound unless proven otherwise.
• Keep credentials in environment variables or the target service login state; never paste API tokens into notebooks, scripts, or skill content.