
Overall Score
11
of AI companies
by GigaSpaces Technologies🇺🇸
GigaSpaces eRAG is a groundbreaking GenAI product that gives you the power of ChatGPT with your operational structured data and tap into the
GigaSpaces eRAG is a groundbreaking GenAI product that gives you the power of ChatGPT with your operational structured data and tap into the heartbeat of your business. With eRAG, you can easily ask questions, dive deeper with follow-up questions and enjoy amazing real-time, ad hoc data exploration ...

Overall Score
11
of AI companies
Overall Score
11
GitHub Stars
—
Monthly Visits
25K
Community Rating
5.0
GigaSpaces eRAG is a groundbreaking GenAI product that gives you the power of ChatGPT with your operational structured data and tap into the heartbeat of your business. With eRAG, you can easily ask questions, dive deeper with follow-up questions and enjoy amazing real-time, ad hoc data exploration ...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
| Keyword | Volume / Mo | CPC |
|---|---|---|
| gigaspaces | 670 | — |
| what is ai database | 200 | — |
| llms validator | 630 | — |
| permix database persistence | 410 | — |
| what is the main role of a prompt in generative ai | 1,000 | — |
Enterprise
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Enterprise
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GigaSpaces eRAG is a groundbreaking GenAI product that gives you the power of ChatGPT with your operational structured data and tap into the heartbeat of your business. With eRAG, you can easily ask questions, dive deeper with follow-up questions and enjoy amazing real-time, ad hoc data exploration ...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
| Keyword | Volume / Mo | CPC |
|---|---|---|
| gigaspaces | 670 | — |
| what is ai database | 200 | — |
| llms validator | 630 | — |
| permix database persistence | 410 | — |
| what is the main role of a prompt in generative ai | 1,000 | — |
Saves
2.2K
Rating
5.0
5 reviews
Views
1.4K
Category
Business analysis
Pros · 22
Cons · 5
Rating distribution
User reviews · 2
Love to try this, sounds exactly what I need to run my operations without BI reports
Supported features
Release history · 1+
Initial release of eRAG GenAI.
Q&A · 22
Esther Levine 🛠️ 1 tool wrote:eRAG combines the power of real-time operational data with GPT’s fantastic user experience: Chat spontaneously and get immediate answers grounded in a unique understanding of your operational data. eRAG continuously learns your business context. It answers complex, cross-system questions instantly, supports decisions with suggestions, challenges, and next steps. And you can get up and running in 2–3 weeks - no data prep needed. GigaSpaces eRAG GenAI is an AI tool designed to transform structured data into accessible insights. The core functionality of GigaSpaces eRAG GenAI revolves around understanding, responding to, and probing structured data queries posed in natural language, translating these questions into SQL queries through advanced semantic reasoning.
Esther Levine 🛠️ 1 tool wrote:eRAG integrates with all structured data sources, including data bases such as Oracle, PostgreSQL, MSSQL, SAP, Google Big Query, MySQL and more. eRAG also connects via APIs to a number of backend systems, and ecosystems such as Microsoft Dynamics.
Being IT-friendly and AI-ready allows GigaSpaces to be quickly and safely integrated into existing IT infrastructures without extensive modifications. This flexibility aids in reducing potential implementation barriers, facilitating its uptake and realizing its benefits faster. Moreover, being AI-ready means GigaSpaces can be promptly deployed to harness the power of AI to generate insights, making informed decisions or power AI applications.
GigaSpaces employs advanced semantic reasoning to deeply understand and precisely respond to structured data queries that are asked in natural language. It perceives the context and intent of the questions and crafts suitable SQL queries to retrieve the necessary data from the database, thereby providing the user with accurate and understandable responses.
The process of GigaSpaces converting natural language queries into SQL is driven by its advanced semantic reasoning abilities. These allow it to interpret the context and meaning behind queries posed in human language. It then crafts the appropriate SQL queries to retrieve the required information correctly from the database. This system extends beyond basic query translation, considering the inherent complexity and situational context of natural language.
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Top 10 in Productivity.
<iframe src="https://indexator.ai/api/embed/leaderboard?category=Productivity" width="300" height="400" frameborder="0" style="border:none;border-radius:8px"></iframe>Can't wait to try this out, thanks!