Context snippets
Retrieve context from an assistant
Assistants
Evaluation
Context snippets
Architecture
Context snippets
Retrieve context from an assistant
Retrieve context snippets from an assistant to use as part of RAG or any agentic flow.
For guidance and examples, see Retrieve context snippets.
POST
/
chat
/
{assistant_name}
/
context
# To use the Python SDK, install the plugin:
# pip install --upgrade pinecone pinecone-plugin-assistant
from pinecone import Pinecone
pc = Pinecone(api_key="YOUR_API_KEY")
assistant = pc.assistant.Assistant(assistant_name="example-assistant")
response = assistant.context(query="Who is the CFO of Netflix?")
for snippet in response.snippets:
print(snippet)
{
"snippets":
[
{
"type":"text",
"content":"EXHIBIT 31.3\nCERTIFICATION OF CHIEF FINANCIAL OFFICER\nPURSUANT TO SECTION 302 OF THE SARBANES-OXLEY ACT OF 2002\nI, Spencer Neumann, certify that: ...",
"score":0.9960699,
"reference":
{
"type":"pdf",
"file":
{
"status":"Available","id":"e6034e51-0bb9-4926-84c6-70597dbd07a7",
"name":"Netflix-10-K-01262024.pdf",
"size":1073470,
"metadata":null,
"updated_on":"2024-11-21T22:59:10.426001030Z",
"created_on":"2024-11-21T22:58:35.879120257Z",
"percent_done":1.0,
"signed_url":"https://storage.googleapis.com...",
"error_message":null
},
"pages":[78]
}
},
{
"type":"text",
"content":"EXHIBIT 32.1\n..."
...
# To use the Python SDK, install the plugin:
# pip install --upgrade pinecone pinecone-plugin-assistant
from pinecone import Pinecone
pc = Pinecone(api_key="YOUR_API_KEY")
assistant = pc.assistant.Assistant(assistant_name="example-assistant")
response = assistant.context(query="Who is the CFO of Netflix?")
for snippet in response.snippets:
print(snippet)
{
"snippets":
[
{
"type":"text",
"content":"EXHIBIT 31.3\nCERTIFICATION OF CHIEF FINANCIAL OFFICER\nPURSUANT TO SECTION 302 OF THE SARBANES-OXLEY ACT OF 2002\nI, Spencer Neumann, certify that: ...",
"score":0.9960699,
"reference":
{
"type":"pdf",
"file":
{
"status":"Available","id":"e6034e51-0bb9-4926-84c6-70597dbd07a7",
"name":"Netflix-10-K-01262024.pdf",
"size":1073470,
"metadata":null,
"updated_on":"2024-11-21T22:59:10.426001030Z",
"created_on":"2024-11-21T22:58:35.879120257Z",
"percent_done":1.0,
"signed_url":"https://storage.googleapis.com...",
"error_message":null
},
"pages":[78]
}
},
{
"type":"text",
"content":"EXHIBIT 32.1\n..."
...
Authorizations
Pinecone API Key
Path Parameters
The name of the assistant to be described.
Body
application/json
The desired configuration to retrieve context from an assistant.
Parameters to retrieve context from an assistant.
Response
200
application/json
Context retrieval process successful.
The response format containing the context from an assistant.
Was this page helpful?
# To use the Python SDK, install the plugin:
# pip install --upgrade pinecone pinecone-plugin-assistant
from pinecone import Pinecone
pc = Pinecone(api_key="YOUR_API_KEY")
assistant = pc.assistant.Assistant(assistant_name="example-assistant")
response = assistant.context(query="Who is the CFO of Netflix?")
for snippet in response.snippets:
print(snippet)
{
"snippets":
[
{
"type":"text",
"content":"EXHIBIT 31.3\nCERTIFICATION OF CHIEF FINANCIAL OFFICER\nPURSUANT TO SECTION 302 OF THE SARBANES-OXLEY ACT OF 2002\nI, Spencer Neumann, certify that: ...",
"score":0.9960699,
"reference":
{
"type":"pdf",
"file":
{
"status":"Available","id":"e6034e51-0bb9-4926-84c6-70597dbd07a7",
"name":"Netflix-10-K-01262024.pdf",
"size":1073470,
"metadata":null,
"updated_on":"2024-11-21T22:59:10.426001030Z",
"created_on":"2024-11-21T22:58:35.879120257Z",
"percent_done":1.0,
"signed_url":"https://storage.googleapis.com...",
"error_message":null
},
"pages":[78]
}
},
{
"type":"text",
"content":"EXHIBIT 32.1\n..."
...