eRAG

eRAG

GigaSpaces
+
+

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About

TopK is a serverless, cloud-native, document database built for powering search applications. It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services. Our unified retrieval engine will evolve to support document transformation (automatically generate embeddings), query understanding (parse metadata filters from user query), and adaptive ranking (provide more relevant results by sending “relevance feedback” back to TopK) under one unified roof.

About

GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) is an AI-powered platform designed to enhance enterprise decision-making by enabling natural language interactions with structured data sources such as relational databases. Unlike traditional generative AI models that may produce inaccurate or "hallucinated" responses when dealing with structured data, eRAG employs deep semantic reasoning to accurately translate user queries into SQL, retrieve relevant data, and generate precise, context-aware answers. This approach ensures that responses are grounded in real-time, authoritative data, mitigating the risks associated with unverified AI outputs.​ eRAG seamlessly integrates with various data sources, allowing organizations to unlock the full potential of their existing data infrastructure. eRAG offers built-in governance features that monitor interactions to ensure compliance with regulations.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI-driven applications, RAG, search engines

Audience

Enterprises seeking a solution to empower their teams with accurate, real-time insights from structured data through natural language queries

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

TopK
Founded: 2024
United States
www.topk.io

Company Information

GigaSpaces
Founded: 2000
Israel
www.gigaspaces.com/products/erag

Alternatives

Alternatives

txtai

txtai

NeuML
Azure AI Search

Azure AI Search

Microsoft

Categories

Categories

Integrations

Amazon RDS Not Supported
GigaSpaces Not Supported
Google Cloud BigQuery Not Supported
IBM Db2 Not Supported
Oracle Database Not Supported
PostgreSQL Not Supported
Python Supported
SAP Cloud Platform Not Supported
SQL Not Supported
SQL Server Not Supported

Integrations

Amazon RDS Supported
GigaSpaces Supported
Google Cloud BigQuery Supported
IBM Db2 Supported
Oracle Database Supported
PostgreSQL Supported
Python Not Supported
SAP Cloud Platform Supported
SQL Supported
SQL Server Supported
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