# [Vectara Recognized in two 2025 Gartner® Market Quadrants for Generative AI](https://www.vectara.com/blog/vectara-recognized-in-the-two-2025-gartnerr-market-quadrants-for-generative-ai)

Sean Anderson

Vectara recognized for model development and AI knowledge management

[Read more](https://www.vectara.com/blog/vectara-recognized-in-the-two-2025-gartnerr-market-quadrants-for-generative-ai)

## Categories

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# [How Conversica delivers Conversation Automation with neural networks](https://www.vectara.com/blog/how-conversica-delivers-conversation-automation-with-neural-networks)

Conversica delivers Conversation Automation solutions powered by neural networks to help people engage in authentic two-way conversations, get meaningful answers, and enjoy a delightful customer experience.

# [Meet Vectara: powerful, free LLM-powered search](https://www.vectara.com/blog/meet-vectara-powerful-free-neural-search)

We’re in a transformative moment in computer science. AI breakthroughs like GPT-3, Copilot, DALL-E and Stable Diffusion are changing how computers understand, interpret, and interact with human language.

# [Semantic search helps chatbots answer more questions](https://www.vectara.com/blog/semantic-search-helps-chatbots-answer-more-questions)

Not too long ago, chatbots and assistants didn’t work well. The ones that did, like Amazon Alexa, were developed by companies with enormous R&D budgets and specialized ML and NLP…

# [The High Cost of Keyword Search](https://www.vectara.com/blog/the-high-cost-of-keyword-search)

Semantic search, based on deep neural networks, is changing information retrieval.

# [What is reranking and why does it matter?](https://www.vectara.com/blog/what-is-reranking-and-why-does-it-matter)

Neural rerankers are powerful models for fine-tuning search results and making the top results even better, no matter what the underlying ranking algorithm is.

# [Scaling Semantic Search at Vectara: Corpora](https://www.vectara.com/blog/scaling-semantic-search-at-vectara-corpora)

When a customer’s use case required 1 million discrete corpora for search, we stress-tested our infrastructure and addressed bottlenecks.