Represents a chat session that can handle user interactions.
Methods
Ask a question in the chat.
Parameters:
formatter
InlineAttributionFormatter | None
Whether to stream the response.
source_filter
list[Source] | list[str] | None = None
Provide a list of trusted sources to ground the response. Check Find Sources to learn how to curate a list of trusted sources.You can either provide the list of Source Objects directly from the response of the method find_sources or the list of source IDs. # Import classes from the bigdata-client Python SDK
from bigdata_client import Bigdata
# Log in to Bigdata
bigdata = Bigdata("YOUR_USERNAME", "YOUR_PASSWORD")
# Create a new chat
chat = bigdata.chat.new("Companies in quantum computing")
# Get source by name
sources = bigdata.knowledge_graph.find_sources("Bloomberg News")
print(sources)
# Ask a question with source filtering, so the response will contain data from your specified trusted sources.
response = chat.ask("Companies involved in quantum computing", source_filter=sources, streaming=True)
print(f"\nQuestion:\n - {response.question}")
print(f"\nAnswer:")
for streamingChatInteraction in response:
print(streamingChatInteraction, end="")
print(f"\nDocuments used to craft the Chat response:\n")
for source in response.sources:
print(f"\tDocument ID: {source.id}")
print(f"\tHeadline: {source.headline}")
print(f"\tURL: {source.url}\n")
[Source(id='208421', name='Bloomberg News', volume=None, description='Bloomberg News is an international news agency headquartered in New York,
United States and a division of Bloomberg L.P.', entity_type='SRCE', publication_type='News', language='English', country='US', source_rank='1',
retention=<SourceRetentionPeriod.FIVE_YEARS: '5Y'>, provider_id='MRVR', url='http://www.bloomberg.com')]
- Chat question and answer:
Question:
- Companies involved in quantum computing research
Answer:
Several companies are actively involved in quantum computing research and development:
* **Alphabet Inc.'s Google** is designing quantum computing processors and has developed a quantum chip called Willow. Google is also an investor in quantum startups like QuEra. `:ref[0]` `:ref[0]` `:ref[2]` `:ref[3]`
* **Nvidia Corp.** is collaborating with Google's Quantum AI division, using its Eos supercomputer to accelerate the design of quantum components. `:ref[0]` `:ref[0]`
* **Riverlane**, a startup based in Cambridge, England, and Boston, designs chips to correct errors in quantum computation. `:ref[1]` `:ref[1]`
...
..
.
- And the list of documents used to ground the response, where we see that all of them are from the specified source.
Document ID: 5BF7D46754A1E8B4BFC1D0B10F6F9236
Headline: Nvidia Is Helping Google Design Quantum Computing Processors
URL: https://news.bloomberglaw.com/tech-and-telecom-law/nvidia-is-helping-google-design-quantum-computing-processors
Document ID: F724276362346324C10D6FF0185BF5A6
Headline: Quantum Computing Startup Riverlane Raises $75 Million
URL: None
Document ID: 91C73FC9040D21CCD8BB9571950B5A0D
Headline: Is Quantum Computing Finally Becoming a Reality?: Editorial
URL: https://news.bloomberglaw.com/ip-law/is-quantum-computing-finally-becoming-a-reality-editorial
...
..
.
delete()
Delete the chat.
Fields
Unique identifier for the chat.
Identifier of the user who created the chat.
Datetime when the chat was created.
Datetime when the chat was last updated.
