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3/27 Event Replay:  *** Why RAG Will Never Die – The Context Window Myth” ***  Watch NOW!

The Trusted GenAI Platform
for All Builders.

Mitigating Hallucinations and Copyright Concerns, Minimizing Bias, Enhancing Explainability, and Broadening Cross-Lingual Reach. Your TRUSTED entry point for GenAI.

*** New Boomerang LLM: World-class Retrieval Puts GenAI into Action ***

In-person & Streaming LIVE

RAG WARS – Advancing AI: Enhancing LLMs and RAG for Improved Performance & Reliability

  • On June 19th, 2024 our ML team will gather from around the world to host another RAG Mastery event, where they will share key insights and best practices on RAG. You’ll learn:
    • How to make your LLM output in a structured format (JSON, CSV, XML,…) via function calling
    • Best practices in storing and consuming data to be used in ML systems, like a data lake/warehouse, s3, event-driven systems
    • About managing state and synchronization of data between Vectara and other data systems
    • Strategies for Mitigating Hallucination in Large Language Models (DPO, DoLA, FAVA)

The GenAI Product Platform

Vectara provides a Trusted Generative AI platform. The platform allows organizations to rapidly create a ChatGPT-like experience (an AI assistant) which is grounded in the data, documents, and knowledge that they have. Our serverless RAG-as-a-Service also solves critical problems required for enterprise adoption, namely: reduces hallucination, provides explainability / provenance, enforces access control, allows for real-time updatability of the knowledge, and mitigates intellectual property / bias concerns from large language models.
Extract

Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more.

Encode

Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding.

Index

Segment data into any number of indexes storing vector encodings optimized for low latency and high recall.

Retrieve

Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models.

Rerank

Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results.

Summarize

Optionally generate a natural language summary of the top results for Q&A or conversational AI experiences.

Extract

Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more.

Encode

Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding.

Index

Segment data into any number of indexes storing vector encodings optimized for low latency and high recall.

Retrieve

Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models.

Rerank

Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results.

Summarize

Optionally generate a natural language summary of the top results for Q&A or conversational AI experiences.

End-to-End GenAI Platform

Get Wise on Your Data with RAG-as-a-Service

Some LLMs train their models on your data. Some hallucinate when they don’t know the answers to your questions. And some lexical searches provide more relevant answers than solely semantic searches. Retrieval Augmented Generation (RAG) remedies all of this.
Our summarization is grounded in the facts retrieved from the indexed data. This means that we significantly reduce the probability of hallucination during the summarization stage; we provide an answer which is concise and sound based on the intended meaning vs. rephrasing the underlying data. With Vectara’s RAGaaS you can ensure your results are in context and hallucination free.

Learn More About RAG

Simple APIs for Builders

Powerful Customization for Developers

Vectara is a modern, API-first search platform. Developer-friendly and easily accessible, all Vectara APIs are designed for consumption by application developers and data engineers who want to embed powerful generative AI into their site or application. LLMs are increasingly complex and become more complex when leveraging more than one in a pipeline or end-solution. Vectara removes the barrier to entry with a trusted entry point by allowing users to operate its platform without having to have deep technical knowledge of operating and hosting multiple LLMs. Vectara APIs abstract away the underlying complexity of operating GenAI solution.

Read the Docs

Find The Answers You Are Looking For With LLM-Powered Hybrid Search

The way people search is changing. They ask questions. They use shorthand. They make typos. They use voice to search. Today, users ask big questions and expect amazing results, immediately. Vectara radically changes how developers build conversational AI. Developers who use Vectara do not need to address the complexity of human language from plurals, verb tenses, idioms, synonym lists, pragmatics and language packs to deliver incredibly relevant results. Users ask. Vectara answers.

Watch On Demand

Vectara Overview [PDF]

Vectara’s GenAI platform allows businesses to add hybrid search, Retrieval Augmented Generation (RAG), and conversational AI capabilities to their applications. This powerful end-to-end platform is exposed to developers via simple APIs, so the cost and implementation time remain surprisingly low.

Get the Platform One-sheet

Vectara is your trusted entry point into Generative AI. Learn how easy it is to get started!

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