Wrenai is an open agent of the economic business (gabi) built by canner, designed to enable seamless seamless partnerships, legal with environmental data. It aims to technical and non-technical teams, which provides questions for questions, analyzing, and mental data without writing SQL. All skills and integration is guaranteed against legal documents and recent issues.
Key Skills
- Natural language in SQL:
Users can ask data questions in a simple language (in all many languages) and wrenai translate these accurate, productive SQL bursary. This directs access to non-technical data. - More issues of roads:
The platform produces SQL, charts, summers, dashboards, and spreadsheets. Both exit the text and view (eg charts, tables) are available for a data representation or applicable reporting. - GENBI Insights:
Wrenai offers summed summers, reports, and formators, making quick analysis, prepared for decisions. - LLM Composing Flexors:
Wrenai supports a list of large languages, including:- Opelai GPT Series
- Azure Outnai
- Google Gemini, Ivertex AI
- Depth
- Databricks
- AWS Bedrock (Anththropic Clause, Core, etc.)
- It is very grown
- Ollaam (shipping local or customized llms)
- Some associated moderns of aupeai API-compatible and models.
- SEMATIC BACKGE & indicator:
It uses the language description language (MDL) to enter the code, Metrics, Join, and descriptions, provide llms direct context and reduce decrease. The Semantic Engine confirms the rich context questions, embedded schema, and equal sales of SQL. - Send Exporting and Cooperation:
Results can be sent to Excel, Google sheets, or APIs of additional analysis or group distribution. - API Importance:
Psychiatric skills and visual skills are available through API, which enables seamlessness to ambulance to desired apps and residents.
Looking for all buildings
Wrenai's construction and is very visible in strong management and integration:
| Part | Description |
|---|---|
| Interface | Web-based or CLI UI of natural language questions and data view. |
| The Orchestral layer | It treats the installation installation, controls the llM selection, and links the killing of the question. |
| Semantic index | Embedded a data schema and metadata, to provide an important vessel of the llm. |
| Llm abstraction | API of unified API to combine many LLM suppliers, clouds and local. |
| The question engine | It makes a SQL made with data support / data warehouse. |
| Goodwill of luck | Render tables, charts, Dashboard, and external shipping results as required. |
| Plugins / Understandable | Allows custom connectors, templates, instant view, and the integration of the relevant requirements. |
SEMATIC Details Engine
- SCHEMA EMBEDDINGS:
Dentical representations of the Vector Capture Schema and business, returning power based on measurement. - Few Moving Shot & Metadata:
SCHEMA samples, joining, and Business Logic is placed in the llM to promote better and accuracy. - To press the context:
The engine ratifies the size of schema in terms of the token's limitations, maintaining sensitive information for each model. - Retrieve-Augmented Generation Generation:
Appropriate Schema and Metadata is collected with the Vector search and added to promoting compliance with the context. - Model-Agnostic:
When engine applies to all llms by using protocol-based release, which confirms the consistency in which it is not limited to return.
Supported Compilation
- Databases and Warehouse:
Greesing Out-The-Box Support, Postgresql, MySQL, Microsql, Microsoft SQL Server, Trinouse, Trinnina, Snowflake, and Redchift, among others. - Methods of Shipment:
It can be driven by self-control, in the cloud, or as a managed service. - API and behavior:
Easily meets other apps and platforms with API.
Cases of normal use
- Marketing / Selling:
Quick generation of operating charts, analyzing funnel, or regional summaries from the Natural language. - Product / Working:
Analyze the use of product, a customer churn, or mathemakers that follow the following questions and visual summaries. - Managers / Analysts:
Default Deserts, in business and KPPI tracking, contented in minutes.
Store
Wrenai is a guaranteed, open genius of the genibi in the middle of business groups and communication details, with analytical understanding, Ai-powered Analytics. It is very increasing, compatible multi-lLM, and enhanced with a strong semantic back to ensure the honest, descriptive business, and easily compiled.
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