Pinecone
Use Pinecone vector database
Configuration
Generate Embeddings
Operation
Generate Embeddings
API Key*
••••••••
Model
Select...
Text Inputs*
[{"text": "Your text here"}]
Output
| Parameter | Type | Description |
|---|---|---|
matches | json | Search matches |
upsertedCount | number | Upserted count |
data | json | Response data |
model | string | Model information |
vector_type | string | Vector type |
usage | json | Usage statistics |
Upsert Text
Operation
Upsert Text
API Key*
••••••••
Index Host*
https://index-name-abc123.svc.project-id.pinecone.io
Namespace*
default
Records*
{"_id": "rec1", "text": "Apple"}
Output
| Parameter | Type | Description |
|---|---|---|
matches | json | Search matches |
upsertedCount | number | Upserted count |
data | json | Response data |
model | string | Model information |
vector_type | string | Vector type |
usage | json | Usage statistics |
Search With Text
Operation
Search With Text
API Key*
••••••••
Index Host*
https://index-name-abc123.svc.project-id.pinecone.io
Namespace*
default
Search Query*
Enter text to search for
Top K Results
10
Fields to Return
["category", "text"]
Filter
{"category": "product"}
Rerank Options
{"model": "bge-reranker-v2-m3", "rank_fields": ["text"], "top_n": 2}
Output
| Parameter | Type | Description |
|---|---|---|
matches | json | Search matches |
upsertedCount | number | Upserted count |
data | json | Response data |
model | string | Model information |
vector_type | string | Vector type |
usage | json | Usage statistics |
Search With Vector
Operation
Search With Vector
API Key*
••••••••
Index Host*
https://index-name-abc123.svc.project-id.pinecone.io
Namespace*
default
Query Vector*
[0.1, 0.2, 0.3, ...]
Top K Results
10
Options
Options
Output
| Parameter | Type | Description |
|---|---|---|
matches | json | Search matches |
upsertedCount | number | Upserted count |
data | json | Response data |
model | string | Model information |
vector_type | string | Vector type |
usage | json | Usage statistics |
Fetch Vectors
Operation
Fetch Vectors
API Key*
••••••••
Index Host*
https://index-name-abc123.svc.project-id.pinecone.io
Namespace*
Namespace
Vector IDs*
["vec1", "vec2"]
Output
| Parameter | Type | Description |
|---|---|---|
matches | json | Search matches |
upsertedCount | number | Upserted count |
data | json | Response data |
model | string | Model information |
vector_type | string | Vector type |
usage | json | Usage statistics |
Usage Instructions
Integrate Pinecone into the workflow. Can generate embeddings, upsert text, search with text, fetch vectors, and search with vectors.
Notes
- Category:
tools - Type:
pinecone