Pre-release evaluation
Typical use inspection
Start by testing scenarios most relevant to your use case. See if your chatbot can reliably navigate discussions with limited human intervention.
...About 8 min
Summary of RAG Workflows
Vector Store Workflow for Conversational Exchanges:
Generate semantic embedding for each new conversation, add the message body to a vector store for retrieval, query the vector store for relevant messages to fill in the LLM context.
Modified Workflow for an Arbitrary Document:
...About 8 min
Objectives
Deep learning models can handle semantics by vectorizing natural language.
...About 3 min
Terminology
Node: Documents will be parsed into nodes.
Response Synthesis: This is the process of merging the retrieved nodes into a response output.
...Less than 1 minute
一、原理
在检索过程中，同时使用多种检索方式，综合选取候选文档，然后将多种检索结果进行融合，得到最终的检索结果。
...Less than 1 minute
In this note, I'll explain how to use Langchain and other tools to embedding a document and why should we do this.
...About 4 min