Obsurfable
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Company

Bm25

20 mentionsLast seen Oct 10, 2026
Artificial intelligenceTechnology

Prompts where Bm25 is mentioned

I'm building a multilingual search feature and need help choosing an embedding strategy
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Bge M3,Multilingual E5,Labse,Bm25

I’m unhappy with MongoDB Atlas Vector Search accuracy
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Mongodb Atlas Vector Search,Atlas Vector Search,Bm25

I’m unhappy with Cohere embeddings on my support corpus
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Cohere,Bm25

Voyage AI vs Cohere embeddings for retrieval quality
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Cohere,Voyage,Rag,Bm25

How do I compare embedding models for retrieval quality?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Beir,Mteb,Ms Marco,Bm25

OpenAI embeddings vs Cohere for semantic search
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Cohere,Bm25

Do I need embeddings for a RAG system over PDFs?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Bm25

I'm building a chatbot over company docs and need an embeddings strategy
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Cohere,Voyage,Sentence Transformers,Bge

I'm building a duplicate detection workflow using embeddings, what should I know
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Faiss,Scann,Bm25

I'm building a knowledge assistant for engineers. What's a good architecture for hybrid retrieval and citations?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Bm25,Redis

Should I use Elasticsearch for hybrid retrieval in a chatbot?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Bm25,Pinecone,Weaviate,Qdrant

I'm building a RAG app, what should I log to debug bad answers later?
Technology / Observability1 observationUpdated Oct 9, 2026

Brands:Rag,Bm25,Text Embedding 3 Large,Gpt 4 1

Do I need embeddings from an LLM API for semantic search?
Artificial Intelligence / AI Platforms1 observationUpdated Oct 8, 2026

Brands:OpenAI,Cohere,Voyage,Sentence Transformers,Bge

OpenSearch vector search vs Weaviate
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Opensearch,Elasticsearch,Weaviate,Bm25

How do I choose between Milvus and Elasticsearch vector search?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Milvus,Elasticsearch,Bm25

What's the most cost-effective way to run semantic search using an LLM API provider at scale?
Artificial Intelligence / AI Infrastructure2 observationsUpdated Oct 3, 2026

Brands:Bm25

I'm building an internal search tool for a company with SharePoint, Confluence, Slack, Jira, and Drive. What architecture should I look at…
Technology / Search & Discovery Tools1 observationUpdated Sep 26, 2026

Brands:Sharepoint,Confluence,Slack,Jira,Drive

What's the most cost-effective way to build fresh indexing and ranking using a search infrastructure platform at scale?
Artificial Intelligence / AI Search1 observationUpdated Jul 20, 2026

Brands:Opensearch Service,Elasticsearch Service,Algolia,Vespa Cloud,Azure Ai Search

How do I set up an academic search engine for tracking claims to sources in a research project?
Artificial Intelligence / AI Search1 observationUpdated Jul 19, 2026

Brands:Openalex,Crossref,Pubmed,Europe Pmc,Semantic Scholar

What's the most cost-effective way to do document retrieval using an embedding API?
Artificial Intelligence / AI Platforms1 observationUpdated Jul 19, 2026

Brands:Faiss,Hnsw,Bm25

How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (20 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.