Get a taste of LangChain’s framework and leverage powerful language models to build applications.
TOC
Models, Prompts and Parsers: calling LLMs, providing prompts and parsing the response
Memories for LLMs: memories to store conversations and manage limited context space
Chains: creating sequences of operations
Question Answering over Documents: apply LLMs to your proprietary data and use case requirements
Evaluation: evaluation chains for grading LLM and Chain outputs.
Agents: explore the powerful emerging development of LLM as reasoning agents.