No. The two solve different problems. Algolia is a hosted search index optimized for fast typed queries across many posts with facets and instant results. SleekAI is a chatbot that reads the live WordPress content of a specific post and answers conversationally about it. Most documentation and editorial sites benefit from running both, with search for discovery and chat for follow-up on the landed article.

No. The Algolia index lives in Algolia's hosted service and is rebuilt by the plugin's re-index commands. SleekAI reads the WordPress side directly: post_content, postmeta, taxonomies, and any custom tables you map. That keeps the bot's answers fresh between re-indexes and avoids a second copy of every post being shipped over the network to the model.

Yes. WP Search with Algolia exposes a no-results template you can customize, and SleekAI exposes a JS API to open the chatbot with an initial message. Pass the visitor's query as that initial message and the model can either suggest a refined search or answer the question directly when an article on the topic exists but missed the index.

Yes. SleekAI is independent of which Algolia plan you run. It reads WordPress data directly, so search volume, plan tier, and Algolia operations are unaffected by chat. The only Algolia-side concern is your usual re-index cadence and the API key the plugin uses to push records, neither of which interacts with SleekAI's chat-request path at all.

By default the rendered post_content, the title, excerpt, and any postmeta you map in the Wizard. For long articles you can add a vector store of up to one gigabyte per file using OpenAI Files retrieval, so the model can pull only the relevant section. Display conditions ensure the right scoping per post type, so docs get docs-context and editorial gets editorial-context.

Yours. SleekAI is bring-your-own-key, so message costs are billed directly by your provider with no SleekWP markup. Use OpenAI, Anthropic, Google, or OpenRouter, and pick a fast model for routine article follow-ups and a stronger one for complex synthesis under the same chatbot without changing the integration.

Yes. If your theme outputs a related-posts block, the rendered links are part of the post output the bot reads. You can also map a specific related-posts query into a named variable that the system prompt formats, useful for editorial sites where the recommendation logic is driven by taxonomy or a custom relationship rather than by Algolia's recommend module.

Conversations are logged inside WordPress with the origin page URL, the user role, the model name, token usage, and the full transcript. If you trigger chat from an Algolia results page, the referring URL is part of the log, so you can filter for chats that started from search and treat them as a distinct cohort when reviewing the bot's performance over time.