3. Technical Creation of Feeda AIAs
3.1. Step 1: Define the AIA’s Purpose
Identify the domain (e.g., real estate, music, travel).
Define the agent’s core objectives and expected interactions.
3.2. Step 2: Configure the Knowledge Base
Curate datasets relevant to the domain.
Use tools such as OpenAI embeddings or Elasticsearch for semantic search capabilities.
Integrate retrieval-augmented systems for dynamic learning.
3.3. Step 3: Build the Database
Set up a scalable and secure relational or NoSQL database.
Configure live data pipelines using tools like Kafka or AWS Data Streams.
Establish APIs for real-time data exchange.
3.4. Step 4: Implement the IMS
Select LLMs like GPT-4, Claude, or custom models for reasoning tasks.
Build a modular architecture for task execution.
Integrate API management tools for external service calls.
3.5. Step 5: Design the CMS
Use frameworks like React, Angular, or Vue.js for web-based CMS.
Ensure responsive design for mobile compatibility.
Enable multimodal interactions via text, voice, or visual tools.
3.6. Step 6: Test and Validate
Conduct end-to-end testing for functionality, performance, and security.
Use synthetic datasets for stress testing.
Validate user experience through beta testing.
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