Easily search and retrieve information from private knowledgebase documents using semantic search powered by AI. The flow expands user queries, searches across multiple knowledge sources, and presents relevant results in a user-friendly chat interface.
User Enters Search Query
User inputs a question or search query through a chat interface.Query Expansion with AI
The system expands and paraphrases the user's query using an AI language model to improve search accuracy.Semantic Search in Knowledgebase
Expanded queries are used to search across all scheduled domains, documents, and Q&A sections in the private knowledgebase.Presenting Relevant Documents
The most relevant documents or information are retrieved and displayed to the user in the chat interface.User-Friendly Chat Experience
Results are presented in a conversational and accessible format, making knowledge discovery seamless.Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.
Paraphrases the user's input into multiple alternative queries to improve semantic search in the knowledge base using an LLM prompt.
Paraphrase input text into multiple alternative queries to improve semantic search in knowledge base.
Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.
Flow description
This workflow, titled “Semantic Search”, enables users to search for information within their private knowledgebase by leveraging advanced language models and semantic search techniques. It is designed to scan across all scheduled domains, documents, and Q&A sections, automating the retrieval of the most relevant information in response to user queries.
When a user opens the chat interface, the workflow triggers a welcome message:
👋 Welcome to the Private Knowledgebase Search Tool!
I’m here to help you search through documents in your private knowledgebase 📚. I’ll scan all scheduled domains, private documents, and Q&A sections to find the information you need.
Simply enter your query, and let’s get started on finding the answers! ✨🔍
This friendly message helps orient users and guides them to enter their search query.
User Input:
The user submits a query via the chat input field.
Query Expansion:
gpt-4o-mini), this component generates up to three paraphrased or semantically similar queries.| Component | Purpose |
|---|---|
| Chat Input | Collects the user’s search question |
| OpenAI LLM (gpt-4o-mini) | Generates alternative phrasings of the query |
| Query Expansion | Produces up to 3 query variants for search |
<H1> headers to maximize context relevance.| Step | Component | Output Type |
|---|---|---|
| Retrieve Documents | Document Retriever | Raw Documents |
| Format Results | Document Widget | Message |
| Display to User | Chat Output | Chat Message |
flowchart LR
A[Chat Opened] --> B[Welcome Message]
B --> C[User Query Input]
C --> D[Query Expansion\n(OpenAI LLM)]
D --> E[Document Retriever]
E --> F[Document Widget]
F --> G[Chat Output]
Typical use cases:
By integrating semantic search with LLM-powered query expansion, this workflow ensures users can efficiently access relevant knowledge, boosting productivity and information discovery.
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