Skip to content

Commit

Permalink
minor formatting changes on json requests
Browse files Browse the repository at this point in the history
  • Loading branch information
@pmpailis
pmpailis committed Nov 29, 2024
1 parent ae30662 commit 28c7fae
Showing 1 changed file with 136 additions and 134 deletions.
270 changes: 136 additions & 134 deletions docs/reference/search/search-your-data/retrievers-examples.asciidoc
View file
Original file line number Diff line number Diff line change
Expand Up @@ -99,37 +99,37 @@ retriever. This retriever operates on top of two other retrievers: a `knn` retri
----
GET /retrievers_example/_search
{
"retriever":{
"rrf": {
"retrievers":[
{
"standard":{
"query":{
"query_string":{
"query": "(information retrieval) OR (artificial intelligence)",
"default_field": "text"
}
}
}
},
{
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
}
],
"rank_window_size": 10,
"rank_constant": 1
}
},
"_source": false
"retriever": {
"rrf": {
"retrievers": [
{
"standard": {
"query": {
"query_string": {
"query": "(information retrieval) OR (artificial intelligence)",
"default_field": "text"
}
}
}
},
{
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
}
],
"rank_window_size": 10,
"rank_constant": 1
}
},
"_source": false
}
----
// TEST
Expand Down Expand Up @@ -192,43 +192,45 @@ we'll collapse our results based on the `year` field.
----
GET /retrievers_example/_search
{
"retriever":{
"rrf": {
"retrievers":[
{
"standard":{
"query":{
"query_string":{
"query": "(information retrieval) OR (artificial intelligence)",
"default_field": "text"
}
}
}
},
{
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
}
],
"rank_window_size": 10,
"rank_constant": 1
}
},
"collapse": {
"field": "year",
"inner_hits": {
"name": "topic related documents",
"_source": ["year"]
}
},
"retriever": {
"rrf": {
"retrievers": [
{
"standard": {
"query": {
"query_string": {
"query": "(information retrieval) OR (artificial intelligence)",
"default_field": "text"
}
}
}
},
{
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
}
],
"rank_window_size": 10,
"rank_constant": 1
}
},
"collapse": {
"field": "year",
"inner_hits": {
"name": "topic related documents",
"_source": [
"year"
]
}
},
"_source": false
}
----
Expand Down Expand Up @@ -1114,44 +1116,44 @@ Let's start by reranking the results of the `rrf` retriever in our previous exam
----
GET retrievers_example/_search
{
"retriever": {
"text_similarity_reranker": {
"retriever": {
"rrf": {
"retrievers": [
{
"standard":{
"query":{
"query_string":{
"query": "(information retrieval) OR (artificial intelligence)",
"default_field": "text"
}
}
}
},
{
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
}
],
"rank_window_size": 10,
"rank_constant": 1
}
},
"field": "text",
"inference_id": "my-rerank-model",
"inference_text": "What are the state of the art applications of AI in information retrieval?"
}
},
"_source": false
"retriever": {
"text_similarity_reranker": {
"retriever": {
"rrf": {
"retrievers": [
{
"standard": {
"query": {
"query_string": {
"query": "(information retrieval) OR (artificial intelligence)",
"default_field": "text"
}
}
}
},
{
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
}
],
"rank_window_size": 10,
"rank_constant": 1
}
},
"field": "text",
"inference_id": "my-rerank-model",
"inference_text": "What are the state of the art applications of AI in information retrieval?"
}
},
"_source": false
}
----
Expand Down Expand Up @@ -1221,34 +1223,34 @@ imagine we have a computationally expensive reranker that's specialized for AI c
----
GET retrievers_example/_search
{
"retriever": {
"text_similarity_reranker": {
"retriever": {
"text_similarity_reranker": {
"retriever": {
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
},
"rank_window_size": 100,
"field": "text",
"inference_id": "my-rerank-model",
"inference_text": "What are the state of the art applications of AI in information retrieval?"
}
},
"rank_window_size": 10,
"field": "text",
"inference_id": "my-other-more-expensive-rerank-model",
"inference_text": "Applications of Large Language Models in technology and their impact on user satisfaction"
}
},
"retriever": {
"text_similarity_reranker": {
"retriever": {
"text_similarity_reranker": {
"retriever": {
"knn": {
"field": "vector",
"query_vector": [
0.23,
0.67,
0.89
],
"k": 3,
"num_candidates": 5
}
},
"rank_window_size": 100,
"field": "text",
"inference_id": "my-rerank-model",
"inference_text": "What are the state of the art applications of AI in information retrieval?"
}
},
"rank_window_size": 10,
"field": "text",
"inference_id": "my-other-more-expensive-rerank-model",
"inference_text": "Applications of Large Language Models in technology and their impact on user satisfaction"
}
},
"_source": false
}
----
Expand Down

0 comments on commit 28c7fae

Please sign in to comment.