Glean vs Talk to Books
When comparing Glean vs Talk to Books, which AI Search Engine tool shines brighter? We look at pricing, alternatives, upvotes, features, reviews, and more.
In a comparison between Glean and Talk to Books, which one comes out on top?
When we put Glean and Talk to Books side by side, both being AI-powered search engine tools, The community has spoken, Talk to Books leads with more upvotes. The upvote count for Talk to Books is 23, and for Glean it's 7.
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Glean
What is Glean?
Glean is an enterprise AI search and knowledge discovery tool that revolutionizes workplace productivity and engagement. Powered by deep learning-based LLMs, Glean offers vector search with semantic understanding for natural language queries. It continuously trains on your company's unique language and context to improve search relevance, eliminating the need for manual fine-tuning. Glean also features an AI-powered assistant that delivers answers, analyses, and summaries from across all your documents and conversations, ensuring you have access to the most relevant information. With personalized results and knowledge discovery, Glean builds your company's knowledge graph, providing customized search results and suggestions based on your work and team interactions. Additionally, Glean offers easy integration with over 100 connectors and ensures data security and privacy with its trusted AI model.
Talk to Books
What is Talk to Books?
Talk to Books was a Google Research experiment that let you ask natural-language questions and get answers pulled from passages across a large collection of books. You typed a question or statement, and the system returned relevant book excerpts instead of standard web search results. Google has shut the service down, but the site still hosts an archive of sample queries.
The project launched in 2018 as part of Google's Semantic Experiences initiative. It used neural language models for semantic matching and retrieval, showing how conversational queries could surface ideas buried in published books rather than blog posts or forums.
Researchers, students, and curious readers used Talk to Books to explore topics through book-length context. The experiment informed later semantic search features inside Google products such as Shopping, Maps, Gmail, and Hangouts.
Glean Upvotes
Talk to Books Upvotes
Glean Top Features
Vector search with semantic understanding: Glean's deep learning-based LLMs enable semantic understanding for natural language queries providing accurate and relevant search results.
Continuous training for improved relevance: Glean continuously trains on your company's unique language and context ensuring the search results get better over time without the need for manual fine-tuning.
AI-powered assistant for comprehensive insights: Glean's assistant delivers answers analyses and summaries from across all your documents conversations and tickets providing comprehensive insights and saving time.
Personalized results based on knowledge graph: Glean builds your company's knowledge graph understanding people
Talk to Books Top Features
Ask questions in plain English and get book passages back, not web links
Searches across a large corpus of published books using semantic matching
Archived sample queries still viewable on the shutdown notice page
Part of Google's 2018 Semantic Experiences research alongside Semantris
Demonstrated neural retrieval models that later shaped other Google products
Glean Category
- Search Engine
Talk to Books Category
- Search Engine
Glean Pricing Type
- Paid
Talk to Books Pricing Type
- Free