linking to intro page now

Author: darshitac11

docs/faqs.md

@@ -21,59 +21,11 @@ The user base is geographically diverse with three main pockets: United States,
 
 ## How does SAP Research Agent work?
 
-### Core Architecture
+Details [here](./research-agent/research-intro.mdx#how-does-sap-research-agent-work)
 
-- **AI Backend**: SAP Research Agent uses over 40+ Large Language Models with specialized configuration for SAP research tasks. More details [here](https://getadriai.github.io/code-agent-docs/faqs#which-models-are-being-used)
-- **Vector Database**: The attached ERP system has been indexed into a ChromaDB vector database. It contains 18 million standard objects of ECC 6.0 EHP 7 and 27 million standard objects of S/4HANA 2023 like:
+## Which models are being used?
 
-  - Transaction codes, programs, classes
-  - Tables, views, data elements
-  - BAdIs, enhancements, function modules
-  - Menu paths, documentation, and more
-
-### Which models are being used?
-
-SAP Research Agent uses a combination of:
-
-- Internally fine-tuned models
-- Public frontier models
-
-Depending on the subtask, an appropriate combination of models is chosen dynamically.
-
-| Model Provider | No. of models used |
-| -------------- | ------------------ |
-| Adri AI        | 4                  |
-| Google         | 9                  |
-| Mistral        | 6                  |
-| Meta           | 8                  |
-| OpenAI         | 7                  |
-| Anthropic      | 4                  |
-| Cohere         | 4                  |
-| Total          | 42                 |
-
-Note: Counts are as of November 2025
-
-### Key Capabilities
-
-1. **System Validation**
-
-SAP Research Agent queries the attached SAP system by writing ChromaSQL queries. ChromaSQL is a SQL-inspired domain specific language created by Adri AI.
-
-2. **Web Search**
-
-SAP Research Agent also has the capability to search the internet for SAP solutions, best practices, and similar use cases.
-
-3. **Document Processing**
-
-SAP Research Agent can read the uploaded attachments and optionally index them for future reference.
-
-### Typical Workflow
-
-1. User asks a research question (text + optional attachments)
-2. Depending on the question, the SAP Research Agent may think of a solution from its own knowledge base or search the web for relevant resources.
-3. The solution is then validated against your SAP system's capabilities using the vector database.
-4. The agent creates detailed implementation plans with specific T-codes, ABAP objects, and configuration steps.
-5. The agent provides alternatives and visual diagrams when helpful.
+Details [here](./research-agent/research-intro.mdx#which-models-are-being-used)
 
 ## What are the usage limits?
 
@@ -84,7 +36,7 @@ After signup, they get another 200,000 free tokens.
 Once you runout of these free tokens, you should upgrade to the Enterprise Plan.
 
 :::note
-For Enterprise Plan, contact us at [darshita@getadri.ai](mailto:darshita@getadri.ai)
+For Enterprise Plan, contact us at [founders@getadri.ai](mailto:founders@getadri.ai)
 :::
 
 ## What is the difference between all the tiers?
@@ -95,5 +47,5 @@ For Enterprise Plan, contact us at [darshita@getadri.ai](mailto:darshita@getadri
 | Conversation History | Not saved          | Saved               | Saved      |
 
 :::note
-For Enterprise Plan, contact us at [darshita@getadri.ai](mailto:darshita@getadri.ai)
+For Enterprise Plan, contact us at [founders@getadri.ai](mailto:founders@getadri.ai)
 :::