Context Chat Engine
🚀
Enhanced
Direct integration with Langfuse tracing
A chat engine serves as an end-to-end pipeline for having a human-like conversation with your data, allowing for multiple exchanges rather than a single question-and-answer interaction.
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Inputs
- Chat Model
- Vector Store Retriever
- Memory
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 |
Outputs
| Name | Description |
|---|---|
| ContextChatEngine | Final node to return response |