FeaturedResearchDEC 1, 2025

Vectara Recognized in two 2025 Gartner® Market Quadrants for Generative AI

Sean Anderson

Vectara Recognized in two 2025 Gartner® Market Quadrants for Generative AI

Vectara recognized for model development and AI knowledge management

Sean Anderson

Blog - page 21

ResearchDEC 8, 2022

Stop Stopping

Stopwords have been used in keyword search systems for decades. However, stopwords have become unreliable sources of information in different semantic search contexts often resulting in diminished search relevance and system performance.

Retrieval and SearchNOV 28, 2022

3 ways LLM-powered search transforms the customer experience

Natural language processing can ease common frustrations while delivering relevant answers and unexpected insights.

Data ingestionNOV 17, 2022

Using metadata to enhance your search experience

This blog post describes different patterns for using metadata fields within Vectara, gives a real world example, and provides several code samples so you can learn how to improve the discovery of your data and apply Vectara in a variety of use cases beyond the search box.

Application DevelopmentOCT 27, 2022

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.

VectaraOCT 7, 2022

Meet Vectara: powerful, free LLM-powered 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

ChatSEP 13, 2022

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…

Retrieval and SearchSEP 6, 2022

The High Cost of Keyword Search

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

Application DevelopmentSEP 6, 2022

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.