š There are at least four ways to do question answering in LangChain.
š» In this video, four different methods of question answering in LangChain are demonstrated.
š The first method showcased is called 'load qha' and it provides a generic interface for answering questions.
š Question answering in LangChain allows for answering questions over a set of documents.
āļø By changing the chain type to map reduce, large language models can process document batches separately and return answers individually.
š In 2021, there were nearly 500,000 AI publications according to the LangChain question answering model.
š” Question answering in LangChain can be done using batch processing.
āØ The refine chain and memory rank chain are two methods used for question answering in LangChain.
ā” The refine chain refines answers along the sequence of batches, while the memory rank chain assigns scores to each answer.
š Retrieving relevant text chunks from a large document to improve language model efficiency.
š Using retrieval QA chain to find the most similar text chunks to a given question.
š” Creating a chain of language models to answer questions based on the retrieved text chunks.
š Different options for embedding methods, text splitters, vector stores, and retrievers in LangChain.
š ļø You can choose different models, character or token-based text splitters, and different vector stores and retrievers.
š The different search types include similarity search and MMR which optimizes for diversity in vectors.
š The functionalities of LangChain are accessible through a simple interface using just three lines of code.
š§ Users can customize the parameters of LangChain, such as the text splitter, embedding, and Vector store index creator.
š¬ LangChain offers a conversational retrieval chain that combines chat history with the retrieval QA method.
š Conversational retrieval chain is used for question answering in LangChain.
š” The chat history can be used as context for the language model to answer questions.
š The answer to a previous query can be passed along with the current query.
The White birds šļø Learn English Through Story Level 4š„ | English Story |English Listening Practice
MAKING OF SILENT VLOGS | My filming and editing process
Topical Authority with Brand Trust and Microsemantics: 2.5x Trafic Increase in 6 Months
Computer Hardware Basics Explained with Parts | Exploring My Computer |
A New Understanding of Human History and the Roots of Inequality | David Wengrow | TED
VLOG: life lately š | busy days as a student, cooking, morning & night routine, school outfits