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AACSearch

send multiple search requests in a single HTTP request

This is especially useful to avoid round-trip network latencies incurred otherwise if each of these requests are sent in separate HTTP requests. You can also use this feature to do a federated search across multiple collections in a single HTTP request. AACSearch extension: with `debug=true` (in the query string, on a search item, or the `X-NOVA-DEBUG: 1` header) the response includes `_trace` and every hit an `_explain` object, as for `searchCollection`. Every response carries an `X-Nova-Trace-Id` header identifying it in the query log.

Search-key operation

Reachable with a browser-safe search key, not only a full key. Key restrictions still apply. See Keys and credits.
POST
/multi_search

This is especially useful to avoid round-trip network latencies incurred otherwise if each of these requests are sent in separate HTTP requests. You can also use this feature to do a federated search across multiple collections in a single HTTP request. AACSearch extension: with debug=true (in the query string, on a search item, or the X-NOVA-DEBUG: 1 header) the response includes _trace and every hit an _explain object, as for searchCollection. Every response carries an X-Nova-Trace-Id header identifying it in the query log.

Authorization

api_key_header
X-NOVA-API-KEY<token>

Every request carries an organization API key. A key has one of two scopes. A full key reaches every operation in this document and belongs on your server. A search key is the one to ship in a browser widget or a storefront page: it reaches only the operations marked x-nova-key-scope: search — searching, federated search, recommendations, event ingestion, and the visitor-facing AI operations (semantic and image search, voice transcription and voice search, assistant chat, and the visitor's own conversation). It cannot write documents or read or change configuration; any other operation answers 403. AI operations are paid in credits from the organization's wallet whichever key calls them (402 when the balance runs out), and a search key needs X-NOVA-SESSION-ID on them: the session is what a conversation belongs to, and what the per-session allowance (429) is counted against. A key of either scope may additionally carry restrictions set in the console: an allowlist of collections (403 elsewhere), a forced filter_by per collection that is ANDed into every search (document-level access control), an allowlist of fields (include_fields is limited to it and a request naming any other field in query_by, facet_by, sort_by, filter_by or highlight_fields answers 400), an IP/CIDR allowlist and an Origin/Referer allowlist (403), and a per-key rate limit (429 with Retry-After).

In: header

Query Parameters

multiSearchParameters*

Parameters for the multi search API.

Header Parameters

X-NOVA-DEBUG?string

AACSearch extension. 1 requests debug output, same as the debug search parameter: the response carries _trace and every hit an _explain object.

X-NOVA-SESSION-ID?string

The caller's session. Enrols each search in running experiments on its collection (sticky per session); the applied variants come back in the X-Nova-Experiment response header as <experiment_id>:<variant_id>, comma-separated.

Request Body

application/json

TypeScript Definitions

Use the request body type in TypeScript.

Response Body

application/json

application/json

application/json

application/json

application/json

curl -X POST "https://example.com/multi_search?q=string&query_rewrite=layout%2Ctranslit&x_user_id=string&x_anonymous_id=string&x_personalization_strength=0&x_surface=search&debug=true&query_by=string&query_by_weights=string&text_match_type=string&prefix=string&infix=string&max_extra_prefix=0&max_extra_suffix=0&filter_by=num_employees%3A%3E100+%26%26+country%3A+%5BUSA%2C+UK%5D&sort_by=string&facet_by=string&max_facet_values=0&facet_query=string&facet_query_num_typos=0&num_typos=string&page=0&per_page=0&limit=0&offset=0&group_by=string&group_limit=0&group_missing_values=true&include_fields=string&exclude_fields=string&highlight_full_fields=string&highlight_affix_num_tokens=0&highlight_start_tag=string&highlight_end_tag=string&snippet_threshold=0&drop_tokens_threshold=0&drop_tokens_mode=right_to_left&typo_tokens_threshold=0&enable_typos_for_alpha_numerical_tokens=true&filter_curated_hits=true&enable_synonyms=true&enable_analytics=true&synonym_prefix=true&synonym_num_typos=0&pinned_hits=string&hidden_hits=string&curation_tags=string&highlight_fields=string&pre_segmented_query=false&preset=string&profile=string&sort=string&enable_curations=false&prioritize_exact_match=true&prioritize_token_position=false&prioritize_num_matching_fields=true&enable_typos_for_numerical_tokens=true&exhaustive_search=true&search_cutoff_ms=0&use_cache=true&cache_ttl=0&min_len_1typo=0&min_len_2typo=0&vector_query=string&remote_embedding_timeout_ms=0&remote_embedding_num_tries=0&facet_strategy=string&stopwords=string&facet_return_parent=string&voice_query=string&conversation=true&conversation_model_id=string&conversation_id=string&conversation_stream=true&validate_field_names=true&nl_query=true&nl_model_id=string&nl_query_debug=true&nl_query_prompt_cache_ttl=0" \  -H "Content-Type: application/json" \  -d '{    "searches": [      {}    ]  }'
{  "results": [    {      "_trace": {},      "facet_counts": [        {          "counts": [            {              "count": 0,              "highlighted": "string",              "value": "string",              "parent": {}            }          ],          "field_name": "string",          "sampled": true,          "stats": {            "max": 0.1,            "min": 0.1,            "sum": 0.1,            "total_values": 0,            "avg": 0.1          }        }      ],      "found": 0,      "found_docs": 0,      "search_time_ms": 0,      "out_of": 0,      "search_cutoff": true,      "page": 0,      "grouped_hits": [        {          "found": 0,          "group_key": [            null          ],          "hits": [            {              "highlights": [                {                  "field": "company_name",                  "snippet": "<mark>Stark</mark> Industries"                }              ],              "document": {                "id": "124",                "company_name": "Stark Industries",                "num_employees": 5215,                "country": "USA"              },              "text_match": 1234556            }          ]        }      ],      "hits": [        {          "highlights": [            {              "field": "company_name",              "snippet": "<mark>Stark</mark> Industries"            }          ],          "document": {            "id": "124",            "company_name": "Stark Industries",            "num_employees": 5215,            "country": "USA"          },          "text_match": 1234556        }      ],      "request_params": {        "collection_name": "string",        "first_q": "string",        "q": "string",        "per_page": 0,        "voice_query": {          "transcribed_query": "string"        }      },      "conversation": {        "answer": "string",        "conversation_history": [          {}        ],        "conversation_id": "string",        "query": "string"      },      "union_request_params": [        {          "collection_name": "string",          "first_q": "string",          "q": "string",          "per_page": 0,          "voice_query": {            "transcribed_query": "string"          }        }      ],      "metadata": {},      "parsed_nl_query": {        "parse_time_ms": 0,        "generated_params": {},        "augmented_params": {},        "llm_response": {}      },      "query_rewrite": {        "strategy": "layout",        "original_q": "string",        "q": "string"      },      "rerank": {        "applied": true,        "model": "bge-reranker-base",        "scored": 0,        "ms": 0,        "skipped": "string"      },      "redirect": {        "url": "string",        "query": "string"      },      "suggestions": [        {          "query": "string",          "source": "manual",          "filter_by": "string",          "facet": {            "field": "string",            "value": "string",            "count": 0          }        }      ],      "query_understanding": {        "intent": "navigational",        "relation": "SUBSTITUTE",        "strategy": "string",        "policy": "string",        "search_text": "string",        "protected_tokens": [          "string"        ],        "entities": [          {            "entity_id": "string",            "type": "brand",            "canonical": "string",            "alias": "string",            "confidence": 0          }        ],        "constraints": [          {            "kind": "string",            "op": "eq",            "value": null,            "unit": "string",            "currency": "string",            "hardness": "hard",            "text": "string",            "filter_by": "string"          }        ],        "confidence": 0      },      "correction": {        "state": "NO_CORRECTION",        "applied": {          "q": "string",          "type": "RAW",          "score": 0,          "found": 0        },        "suggestions": [          {            "q": "string",            "type": "RAW",            "score": 0,            "found": 0          }        ],        "reason": "string"      },      "refinements": [        {          "id": "string",          "type": "facet",          "label": "string",          "query": "string",          "filter_by": "string",          "field": "string",          "value": "string",          "count": 0,          "score": 0,          "dimension": "string"        }      ],      "code": 0,      "error": "string"    }  ],  "conversation": {    "answer": "string",    "conversation_history": [      {}    ],    "conversation_id": "string",    "query": "string"  }}