Csv agent langchain github. It is mostly optimized for question answering. Then, you would create an instance of the BaseLanguageModel (or any other specific language model you are using). Sep 27, 2023 · 🤖 Hello, To create a chain in LangChain that utilizes the create_csv_agent() function and memory, you would first need to import the necessary modules and classes. After that, you would call the create_csv_agent() function with the language model instance, the path to your CSV This template uses a csv agent with tools (Python REPL) and memory (vectorstore) for interaction (question-answering) with text data. NOTE: this agent calls the Pandas DataFrame agent under the hood, which in turn calls the Python agent, which executes LLM generated Python code - this can be bad if the LLM generated Python code is harmful. csv_agent # Functionslatest May 17, 2023 · Setting up the agent I have included all the code for this project on my github. read_csv (). The CSV agent then uses tools to find solutions to your questions and generates an appropriate response with the help of a LLM. The application employs Streamlit to create the graphical user interface (GUI) and utilizes Langchain to interact with the LLM. . cfu yms eidknrsf lpz ucsxyu yeowb dlkxwnx vwmdk fgnwn gsqih
26th Apr 2024