At its core, LangChain is a framework built around LLMs. We can use it for chatbots, Generative Question-Answering (GQA), summarization, and much more.
Let's dive in!
An Introduction to LangChain
An overview of the core components of LangChain.
Prompt Templates and the Art of Prompts
The art and science behind designing better prompts.
Building Composable Pipelines with Chains
Exploring how LangChain supports modularity and composability with chains.
Enabling the next wave of intelligent chatbots using conversational memory.
Fighting hallucinations and keeping LLMs up-to-date with external knowledge bases.
How ReAct and conversational agents can be used to supercharge LLMs with tools.
How we build custom tools for use with agents.
Agents With Long-Term Memory
Exploring how we can build retrieval-augmented conversational agents.
Streaming in LangChain
A guide covering simple streaming through to complex streaming of agents and tool.
How to use multi-query in RAG pipelines.
LangChain Expression Language
Understand what LCEL is and how it works.