Conversational Retrieval QA Chain
🚀
Enhanced
Direct integration with Langfuse tracing
A chain for performing question-answering tasks with a retrieval component.
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Definitions
A retrieval-based question-answering chain, which integrates with a retrieval component and allows you to configure input parameters and perform question-answering tasks.
Retrieval-Based Chatbots: Retrieval-based chatbots are chatbots that generate responses by selecting pre-defined responses from a database or a set of possible responses. They “retrieve” the most appropriate response based on the input from the user.
QA (Question Answering): QA systems are designed to answer questions posed in natural language. They typically involve understanding the question and searching for or generating an appropriate answer.
Inputs
Parameters
| Name | Description |
|---|---|
| Return Source Documents | To return citations/sources that were used to build up the response |
| System Message | An instruction for LLM on how to answer query |
| Chain Option | Method on how to summarize, answer questions, and extract information from documents. Read more |
Outputs
| Name | Description |
|---|---|
| ConversationalRetrievalQAChain | Final node to return response |