451 Research: “Marketing Impact Report: Vectara”
Vectara is in a position to offer more control and deployment flexibility as the market demands it.
S&P Global analyst for agentic RAG, Melissa Incera, provides her market insights on Vectara during the birth of its Mockingbird Retrieval Model launch. Melissa points to the evolution of the company and talks about the opportunities for companies who invest in building foundational models have to potentially win in the ecosystem.
“The company’s push into models is an interesting move – others have been resistant to invest in an area well held by leaders like OpenAI. But it highlights limitations in both the high cost and genericism of the most performant public models and should put Vectara in a position to offer more control and deployment flexibility as the market demands it. Data from our upcoming Voice of the Enterprise: AI & Machine Learning, Infrastructure survey shows a year-over-year increase in organizations primarily deploying generative AI via end-to-end services and software providers as opposed to those building from scratch.”
If you read this report you will understand:
How Vectara took AI driven search capabilities even before the arrival of popular chat-based services.- How Vectara's commitment to RAG gives users control over LLMs within their own domain space.
- How Mockingbird can provide better performance for RAG workloads and structured outputs.
- Reasons why the industry is investing in startups like Vectara.
