API endpoints for document retrieval and RAG operations
Parameter | Type | Description | Default |
---|---|---|---|
query | string | The search query | Required |
vector_db | string | Vector database to use | ”pinecone” |
top_k | integer | Number of results to return | 3 |
model | string | Model to use for generating answers | ”gpt-4” |
Parameter | Type | Description | Default |
---|---|---|---|
query | string | The search query | Required |
vector_db | string | Vector database to use | ”pinecone” |
top_k | integer | Number of results to return | 3 |
Parameter | Type | Description | Default |
---|---|---|---|
query | string | The search query | Required |
vector_db | string | Vector database to use | ”pinecone” |
top_k | integer | Number of results to return | 3 |
model | string | Model to use for generating answers | ”gpt-4” |
Parameter | Type | Description |
---|---|---|
query_str | string | The search query |
rag | boolean | Whether to use RAG |
topk | integer | Number of results to return |