Create rag.yml

rag.yml

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+# TxtAI Rag Application
+#
+# All-in-one RAG application
+#
+#   - Text Extraction with Docling, Chunking, and Indexing of documents. Supports PDF, DOCX, Web, XLSX files and more.
+#   - Vector database with embeddings generation
+#   - gpt-oss-20B LLM
+#   - RAG pipeline that joins vector search with the LLM
+
+# Embeddings configuration
+writable: True
+embeddings:
+    content: True
+
+# Text extraction
+textractor:
+    sections: True
+    backend: docling
+    headers:
+        user-agent: Mozilla/5.0
+    minlength: 50
+    tuples: True
+
+# RAG pipeline
+rag:
+    path: unsloth/gpt-oss-20b-GGUF/gpt-oss-20b-Q4_K_M.gguf
+    n_ctx: 20000
+    system: You are a friendly assistant
+    output: flatten
+    template: |
+        Answer the following question using the provided context.
+
+        Question:
+        {question}
+
+        Context:
+        {context}
+
+# Indexing workflow
+workflow:
+    index:
+        tasks:
+            - textractor
+            - index