Algolia Query Suggestions API

Name: Query Suggestions API
Brand: Query Suggestions API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAI/MLEmbeddings SearchapiKey12 EndpointsREST

Install Jentic One Beta

Connect the Query Suggestions API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Query Suggestions API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Query Suggestions API.

Create a query-suggestions configuration linking source indices and facets via POST /1/configs

List every query-suggestions configuration in the application via GET /1/configs

Update an existing configuration to add facets or change generation rules via PUT /1/configs/{indexName}

GET STARTED

Start building with Query Suggestions API

Explore with Jentic

View OpenAPI Document

For Agents

Configure and inspect Algolia query-suggestions indices that power autocomplete, including source index selection, facet eligibility, and rebuild status.

Use for: I need to create a query-suggestions index for an autocomplete UI, List all query-suggestions configurations in the application, Check whether a query-suggestions index has finished rebuilding, Retrieve the log file for the latest suggestions build

Not supported: Does not execute search queries, manage records, or send analytics events - use the Algolia Search and Insights APIs for those. Use this API for query suggestions configuration only.

Jentic publishes the only available OpenAPI specification for the Algolia Query Suggestions API, keeping it validated and agent-ready. The Query Suggestions API manages the configuration of suggestion indices that Algolia generates from your search analytics, external suggestion lists, or facet values. You define which source indices contribute, which facets are eligible, and how often the suggestions index is rebuilt. The resulting suggestions index can then be queried like any other Algolia index to power autocomplete experiences.

Use Cases

Patterns agents use Query Suggestions API for, with concrete tasks.

★ Storefront autocomplete from search analytics

Create a query-suggestions config that pulls popular searches from a primary product index and surfaces them as autocomplete entries. The Query Suggestions service rebuilds the index on a schedule, ranking suggestions by search volume and click-through. You can then query the resulting suggestions index from your autocomplete UI like any other Algolia index.

POST /1/configs with sourceIndices referencing 'products', generate=['brand','category'] facets, and minHits=5

Multi-source suggestions for content sites

Combine searches from a product index and an articles index into a single suggestions index. The configuration accepts multiple source indices and merges their popular queries, so a single autocomplete dropdown can surface both product and content suggestions ranked by relevance.

PUT /1/configs/storefront-suggestions adding 'articles' to sourceIndices alongside 'products' with weight 0.5

Diagnose missing suggestions

When a popular query does not appear in the suggestions dropdown, fetch the latest build log via GET /1/logs/{indexName} to see whether it was filtered by minHits, blocklist, or a generation rule. Combined with GET /1/configs/{indexName}/status this lets you confirm the index is up to date.

GET /1/logs/storefront-suggestions and GET /1/configs/storefront-suggestions/status, then report any errors or filtered queries

Agent-managed autocomplete tuning

An AI agent can audit current configurations, identify suggestions indices with stale builds, and apply updated rules through Jentic. Credentials are pulled from the Jentic vault so the agent never handles raw Algolia admin keys.

Search Jentic for 'update Algolia query suggestions configuration', load updateConfig, and execute with the new facet list

Key Endpoints

12 endpoints — jentic publishes the only available openapi specification for the algolia query suggestions api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/1/configs

List all query-suggestions configurations

POST

/1/configs

Create a new configuration

PUT

/1/configs/{indexName}

Update an existing configuration

DELETE

/1/configs/{indexName}

Delete a configuration

GET

/1/configs/{indexName}/status

Get build status of a suggestions index

GET

/1/logs/{indexName}

Get the latest build log

GET

/1/configs

List all query-suggestions configurations

POST

/1/configs

Create a new configuration

PUT

/1/configs/{indexName}

Update an existing configuration

DELETE

/1/configs/{indexName}

Delete a configuration

GET

/1/configs/{indexName}/status

Get build status of a suggestions index

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Your Algolia API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'create a query suggestions config' or 'check a suggestions config status', and Jentic returns the matching Algolia Query Suggestions operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

Time to first call

FAQs

Specific to using Query Suggestions API through Jentic.

Why is there no official OpenAPI spec for the Query Suggestions API?

Algolia does not publish a standalone OpenAPI specification for the Query Suggestions API. Jentic generates and maintains this spec so that AI agents and developers can call the Query Suggestions API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Algolia Query Suggestions API use?

Two API key headers: x-algolia-application-id and x-algolia-api-key with the editSettings ACL. Through Jentic, both are stored in the vault and injected at request time, so agents never see the raw admin key.

Can I combine multiple source indices into a single suggestions index?

Yes. POST or PUT /1/configs accepts a sourceIndices array, and each entry can carry its own facets, generate rules, and weight. Algolia merges and ranks the combined suggestions during the next rebuild.

What are the rate limits for the Algolia Query Suggestions API?

The spec does not declare numeric rate limits. Configuration changes trigger an asynchronous rebuild, so back-to-back PUTs on the same config can queue. Use GET /1/configs/{indexName}/status to confirm the previous build finished before issuing the next change.

How do I create a suggestions configuration through Jentic?

Search Jentic for 'create Algolia query suggestions config', load createConfig, and execute with sourceIndices and generate facets. Jentic injects the application ID and API key automatically.

Where do the suggestions actually live once configured?

Each configuration produces a regular Algolia index named in the config. Query that index via the Search API to populate your autocomplete dropdown - no special suggestions endpoint is needed for read traffic.

Algolia Query Suggestions API

Connect the Query Suggestions API to your agent

Capabilities

Start building with Query Suggestions API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs