| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| from haystack.components.builders import PromptBuilder |
| from haystack.components.embedders import OpenAITextEmbedder |
| from haystack.components.generators import OpenAIGenerator |
| from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever |
| from haystack.document_stores.in_memory import InMemoryDocumentStore |
| |
| from burr.core import ApplicationBuilder, State, action |
| from burr.integrations.haystack import HaystackAction |
| |
| |
| @action(reads=["answer"], writes=[]) |
| def display_answer(state: State) -> State: |
| print(state["answer"]) |
| return state |
| |
| |
| def build_application(): |
| embed_text = HaystackAction( |
| component=OpenAITextEmbedder(model="text-embedding-3-small"), |
| name="embed_text", |
| reads=[], |
| writes={"query_embedding": "embedding"}, |
| ) |
| |
| retrieve_documents = HaystackAction( |
| component=InMemoryEmbeddingRetriever(InMemoryDocumentStore()), |
| name="retrieve_documents", |
| reads=["query_embedding"], |
| writes=["documents"], |
| ) |
| |
| build_prompt = HaystackAction( |
| component=PromptBuilder(template="Document: {{documents}} Question: {{question}}"), |
| name="build_prompt", |
| reads=["documents"], |
| writes={"question_prompt": "prompt"}, |
| ) |
| |
| generate_answer = HaystackAction( |
| component=OpenAIGenerator(model="gpt-4o-mini"), |
| name="generate_answer", |
| reads={"prompt": "question_prompt"}, |
| writes={"answer": "replies"}, |
| ) |
| |
| return ( |
| ApplicationBuilder() |
| .with_actions( |
| embed_text, |
| retrieve_documents, |
| build_prompt, |
| generate_answer, |
| display_answer, |
| ) |
| .with_transitions( |
| ("embed_text", "retrieve_documents"), |
| ("retrieve_documents", "build_prompt"), |
| ("build_prompt", "generate_answer"), |
| ("generate_answer", "display_answer"), |
| ) |
| .with_entrypoint("embed_text") |
| .build() |
| ) |
| |
| |
| if __name__ == "__main__": |
| import os |
| |
| os.environ["OPENAI_API_KEY"] = "sk-..." |
| |
| app = build_application() |
| |
| _, _, state = app.run( |
| halt_after=["display_answer"], |
| inputs={ |
| "text": "What is the capital of France?", |
| "question": "What is the capital of France?", |
| }, |
| ) |
| app.visualize(include_state=True) |