from langchain.agents import Tool #For defining the type of agent #there's not a lot of great documentation about agents in the LangChain docs #I think this sets the context used to inform the model how to behave from langchain.agents import AgentType #again not a lot of documentation a...
The LangChain documentation covers various types of LLM chains, which can be effectively categorized into two main groups: Generic chains and Utility chains. Image 2: Chains Chains can be broadly classified into Generic Chains and Utility Chains. (a) Generic chains are designed to provide general...
LangChain is an open-source framework that developers use to chain components from multiple modules and data sources to build AI applications. Using techniques such asretrieval-augmented generation (RAG),one of the standout features of LangChain is how it integrates seamlessly with other tools and ...
The tool in the example below is PythonREPLTool(), which lets you run Python code within a LangChain agent or chain. This allows you to process, analyze, or compute data directly using Python code while interacting with other parts of LangChain, such as LLMs, prompts, and external data ...
LangChain Core Community Experimental Text splitters Partner libs Docs Toggle Menu langchain 0.2.17 langchain.agents langchain.callbacks langchain.chains langchain.chat_models langchain.embeddings langchain.evaluation langchain.globals langchain.hub langchain.indexes langchain.memory lang...
For the legacy API reference hosted on ReadTheDocs see https://api.python.langchain.com/.Base packages# Core langchain-core: 0.3.58 Langchain langchain: 0.3.25 Text Splitters langchain-text-splitters: 0.3.8 Community langchain-community: 0.3.23 Experimental langchain-experimental: 0.3...
Using the APIs from OpenAI and the langchain project, it is quite easy to implement a bot that is fed with your documentation and other product information. The answers of the bot are then specific for the trained knowledge domain. Background on the used
(llms). for more detailed information and resources, you can refer to the official langchain documentation. conversely, faiss, which stands for "facebook ai similarity search," is a python library that provides developers with a rapid and efficient means of searching for similar embeddings, ...
Add persistent storage for chat history Implement custom tools for your agent Enhance the UI with additional features Deploy to production using LangGraph Platform For more examples and detailed documentation: LangGraph Documentation FastHTML Documentation DaisyUI Components...
So, let’s start with the basics of LangChain and Heroku. The documentation for LangChain tells us this: “LangChain is a framework for developing applications powered by language models.” Meanwhile, Heroku describes itself this way: “Heroku is a cloud platform that lets companies...