Part 10/13:
Query Generation: Using LLMs within Langchain to generate accurate SQL commands.
Results Retrieval: Fetching answers from the database, ensuring control, safety, and efficiency.
This approach empowers users to query complex databases through simple conversational prompts, significantly easing data access and decision-making.
Practical Tools and Frameworks
Throughout the sessions, several AI frameworks and libraries were discussed:
LangChain: Modular framework for chaining different NLP tasks, integrating prompts, memory, and agents.
LlamaIndex (formerly GPT Index): Specialized for building retrieval-based systems and data querying.
OpenAI & Azure APIs: Commonly used for model hosting and API access, with fine-tuning options.