Vectara
Vectara is a commercial vector database and search platform that enables semantic and hybrid AI-powered search using vector embeddings.
About this tool
Vectara
Vectara is a commercial vector database and search platform designed to enable semantic and hybrid AI-powered search using vector embeddings. It is positioned as an AI Agent and Assistant platform for enterprises, allowing organizations to build and deploy generative AI (GenAI) solutions in mission-critical applications.
Features
- Vector database and search platform
- Semantic and hybrid search capabilities using vector embeddings
- Retrieval-augmented generation system to minimize hallucinations
- SOC-2 Type 2 compliance and rigorous access controls for security and privacy
- Observability tools for analyzing and refining the thought processes of AI agents and assistants
- Support for building AI Assistants that can execute research plans and answer questions using various data sources
- Support for building AI Agents capable of acting on behalf of users to achieve outcomes via action plans
- Use cases span multiple industries, including finance, legal, customer service, and more
- Performance focus with best-in-industry accuracy
Pricing
No pricing details are provided in the available content.
Tags
commercial, vector-search, semantic-search, ai
Loading more......
Information
Categories
Tags
Similar Products
6 result(s)Meilisearch offers vector search capabilities as part of its search engine, enabling hybrid and semantic search for AI applications.
NucliaDB is a commercial vector database that enables semantic and vector search across unstructured data, supporting advanced AI and ML-powered applications.
Denser Retriever is a vector-based retrieval system designed for efficient similarity search and information access in AI and ML workloads.
Marqo is an open-source neural search engine that leverages vector representations to enable semantic search over textual data. It abstracts vector database complexity and provides a high-level interface for building advanced search applications.
LiquidMetal AI is a platform providing intelligent storage with built-in AI capabilities, including vector database features for building advanced AI applications.
OpenSearch Vector Search is the vector similarity search and AI search capability within the OpenSearch engine, supporting vector indices, ingestion of embedding data, and search methods including raw vector search, semantic search, hybrid search, multimodal search, and neural sparse search. It enables building RAG and conversational search applications using either user-provided embeddings or embeddings generated automatically by OpenSearch.