blob: 239068dad151a5b4718ae49dc8891573f8c4b75a [file]
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from hamilton.driver import Builder, Driver
from burr.core import ApplicationBuilder, State, action
@action(reads=[], writes=[])
def ingest_blog(state: State, blog_post_url: str, dr: Driver) -> State:
"""Download a blog post and parse it"""
dr.execute(["embed_chunks"], inputs={"blog_post_url": blog_post_url})
return state
@action(reads=[], writes=["llm_answer"])
def ask_question(state: State, user_query: str, dr: Driver) -> State:
"""Reply to the user's query using the blog's content."""
results = dr.execute(["llm_answer"], inputs={"user_query": user_query})
return state.update(llm_answer=results["llm_answer"])
if __name__ == "__main__":
# renames to avoid name conflicts with the @action functions
from actions import ask_question as ask_module
from actions import ingest_blog as ingest_module
from hamilton.plugins.h_opentelemetry import OpenTelemetryTracer
from opentelemetry.instrumentation.lancedb import LanceInstrumentor
from opentelemetry.instrumentation.openai import OpenAIInstrumentor
OpenAIInstrumentor().instrument()
LanceInstrumentor().instrument()
dr = (
Builder()
.with_modules(ingest_module, ask_module)
.with_adapters(OpenTelemetryTracer())
.build()
)
app = (
ApplicationBuilder()
.with_actions(ingest_blog.bind(dr=dr), ask_question.bind(dr=dr))
.with_transitions(("ingest_blog", "ask_question"))
.with_entrypoint("ingest_blog")
.with_tracker(project="modular-rag", use_otel_tracing=True)
.build()
)
action_name, results, state = app.run(
halt_after=["ask_question"],
inputs={
"blog_post_url": "https://blog.dagworks.io/p/from-blog-to-bot-build-a-rag-app",
"user_query": "What do you need to monitor in a RAG app?",
},
)
print(state["llm_answer"])