Iqra Technology

❮ Previous Next ❯ Testing and Debugging API Responses Use tools like Postman, Insomnia, or Django’s built-in testing tools to: •  Send test requests•  Debug response behavior•  Fix issues in prompt formatting or input handling You can also log the input and output for analysis: Wrap-Up By the end of this module, you’ll be able […]

❮ Previous Next ❯ Adding User Input Handling Make sure the API properly handles incoming user messages using serializers: Update your view to use this serializer for validation: Handling API requests & responses This setup ensures:    •  Clean request validation   •  Modular response generation   •  JSON formatted output Sample request: Sample response: Processing user

❮ Previous Next ❯ Integrating LangChain with Django Rest Framework Django Rest Framework (DRF) is a powerful toolkit for building Web APIs using Django. In this module, we will connect LangChain to DRF so users can interact with an AI model via HTTP requests. LangChain will handle the prompt logic and LLM integration, while DRF

❮ Previous Next ❯ Alternative Vector Databases While FAISS is powerful, there are other vector stores that can also be used with LangChain: Pinecone •  Cloud-native and scalable•  Supports metadata filtering and high-volume workloads•  Ideal for production-ready applications Weaviate •  Open-source with cloud deployment options•  Offers semantic filtering, GraphQL API, and hybrid search ChromaDB • 

❮ Previous Next ❯ What is FAISS? FAISS (Facebook AI Similarity Search) is an open-source library that allows fast and scalable similarity search over vector data. It’s widely used for building AI apps that need to match input queries with relevant stored knowledge. Installing FAISS Note: Use faiss-gpu if you’re working with a GPU for

❮ Previous Next ❯ Introduction to Vector Databases Prompt Engineering is the art of designing effective inputs (prompts) to get the most accurate, relevant, and helpful responses from a Large Language Model (LLM). Since LLMs respond based on the text they receive, carefully crafting your prompt directly impacts the quality of the output. What is