3.6 Knowledge Base Q&A (Knowledge‑QA Integration)
Pop’s Knowledge Base Q&A allows the AI to go beyond being a “general model” — it can read your own documents, project materials, product manuals, team notes, research papers, and more, providing fact‑based and content‑grounded answers.
Knowledge‑based Q&A is ideal for:
- Project documentation, system descriptions, technical specs
- Internal company SOPs and business processes
- Personal reading notes and research material
- Domains requiring factual accuracy (legal, medical, finance)
Pop structures your materials so the AI becomes your personal knowledge assistant.
📚 What Types of Content Can Pop’s Knowledge Base Use?
You can build a KB from many types of resources, including:
- PDF documents
- Markdown / plain text
- Word / Excel / PowerPoint
- Web page content
- Your handwritten notes
- Auto‑synced online documents (coming soon)
Each knowledge base supports:
- Document management
- Chunk indexing
- Embedding vector retrieval
- BM25 / Hybrid retrieval
- AI answers grounded in retrieved content
🔍 Deep Integration with the AI Assistant
Inside the AI chat interface, you can select one or more knowledge bases:
Option 1: Choose KB in the top‑right of the chat window
Click the “Knowledge Base” dropdown and select the KBs you want to enable.
Option 2: Bind a default KB to a persona
Each persona can have its own default KB, such as:
- “Customer Service Assistant” → FAQ KB
- “Financial Advisor” → Finance Policy KB
- “Developer Assistant” → Project Docs KB
When bound, all answers from that persona automatically use its KB.
🎯 How Knowledge Base Q&A Works
Pop uses a Retrieval‑Augmented Generation (RAG) pipeline:
- You ask a question
- The system retrieves relevant document chunks (BM25 / Vector / Hybrid)
- The retrieved text is passed as “context” to the AI
- The AI generates a grounded answer
- The final answer includes source citations
Ensuring answers are:
- More accurate
- Verifiable
- Traceable
📌 Retrieval Modes (BM25 / KNN / Hybrid)
Pop supports three retrieval strategies:
| Mode | Features | Best For |
|---|---|---|
| BM25 (Keyword Search) | Fast, keyword‑based | Clean text with clear keywords |
| KNN (Vector Search) | Semantic understanding | Natural language, varied phrasing |
| Hybrid | Combines both advantages | Most scenarios (recommended) |
Pop automatically uses the optimal method based on your KB configuration.
📎 Source Citations
Every generated answer includes references:
- Document name
- Relevant chunk preview
- Click to jump to the exact location in the document
Example:
According to Section 3.2 of the Project Design Document…
This ensures transparency and trustworthiness.
✏️ Tips for Improving Answer Accuracy
Follow these suggestions:
- Use clean document formats (PDF / Markdown preferred)
- Large documents are automatically chunked (Pop handles this)
- Make your questions specific
- ❌ “Introduce this system.”
- ✅ “Based on Section 2.3 of the Architecture Document, explain the microservice design.”
- Combine multiple KBs for richer answers
📦 Multi‑Knowledge‑Base Answers
Pop supports using multiple KBs simultaneously in a single conversation:
- “Product Docs + Technical Specs” → architecture questions
- “Manual KB + FAQ KB” → customer support
- “Reading Notes + Research Papers” → academic summaries
Pop merges retrieval results to maximize accuracy.
⚙️ Managing and Updating Knowledge Bases
In the Knowledge Base Management interface, you can:
- Create KBs
- Add / delete documents
- Re‑index content
- Bind KB to personas
- Configure retrieval modes
- View indexing status
These settings directly affect AI accuracy and coverage.
🔒 Privacy & Security
All documents you upload are stored locally or on your private server.
Pop never uploads your content externally unless you explicitly connect to a remote model.
- Document processing occurs locally
- Vector database is stored locally
- Knowledge data is never used for model training
Suitable for enterprise security scenarios.
📌 Summary
Knowledge Base Q&A transforms Pop from a “general chat assistant” into a powerful content‑aware intelligent system.
Use KBs to:
- Enable fact‑grounded answers
- Build enterprise internal assistants
- Manage multi‑project documentation
- Quickly summarize and search your documents