Company Knowledge Base Builder for RAG Applications
Create a searchable knowledge database from your documents and URLs to power AI Agents with accurate, company-specific information.
Details
What you get
Video
Description
The Knowledge Database Builder turns your company’s documents and web content into a searchable, AI-ready knowledge base.
By uploading PDFs or crawling specified URLs, the tool generates vector embeddings stored in a structured database.
This allows you to connect your AI Agents seamlessly for accurate and efficient responses using company-specific information.
Ideal for teams looking to automate knowledge sharing, streamline workflows, and provide reliable AI-driven support.
Features
AI Agent Integration
Connect the database to your AI Agent or chatbot for instant access to company-specific knowledge.
Document Upload
Submit PDFs to extract and index key information.
Web Content Crawling
Provide URLs to automatically crawl and extract relevant data to ingest into the knowledge database.
Data Versioning
Automatically manage document versions to handle updates and flag outdated content.
Anti-Hallucination
AI Agents provide reliable answers based on your updated and searchable content.
Product information
- Upload Documents or Submit URLs: Upload PDFs or provide web links to extract content. The system supports bulk uploads and handles various formats, ensuring flexibility for document sources.
- Content Processing: Text is automatically extracted, cleaned, and pre-processed. Irrelevant data like formatting noise or duplicates is removed to create clean, usable content. High-quality vector embeddings are then generated for efficient information retrieval.
- Vector Database Creation: The processed content is stored as a structured vector database. This allows fast and precise search capabilities for AI Agents to retrieve the most relevant data.
- Test Retrieval Relevancy and Accuracy: Use the provided web application to query the database and validate performance. Send test queries to receive the top N most relevant documents and ensure retrieval accuracy aligns with your expectations.
- AI Agent Integration: Seamlessly connect the vector database to your AI Agents, chatbots, or retrieval-augmented generation (RAG) applications using APIs for instant knowledge access.
- Accurate Responses: Your AI Agent or chatbot retrieves and delivers precise, context-aware answers based on the latest indexed and version-controlled content, ensuring up-to-date responses.
This solution is perfect for businesses looking to centralize company knowledge, enabling AI-powered tools to deliver accurate and reliable insights for employees and customers.
Use Case 1: Internal Knowledge Management
Industry: Enterprise, Tech Companies
Description: Create a searchable database of internal documents, reports, and manuals to power AI tools for employee queries.
Benefits: Reduces time spent searching for information, increases productivity, and improves knowledge sharing.
Use Case 2: AI-Powered Customer Support
Industry: SaaS, E-commerce, Customer Service
Description: Provide your AI chatbot access to indexed support documents and FAQs for accurate, company-specific responses.
Benefits: Improves response quality, reduces support ticket volume, and enhances customer satisfaction.
Use Case 3: Research Document Automation
Industry: Consulting, Legal, Academia
Description: Automate indexing and searching of large research or legal document sets for fast, reliable AI-assisted insights.
Benefits: Saves hours of manual search, improves research accuracy, and accelerates decision-making processes.
The tool provides APIs to seamlessly integrate the vector database with your AI Agents, chatbots, or RAG applications. This allows AI systems to query the knowledge base, retrieve the top relevant documents, and generate responses using up-to-date and reliable company information.
The tool currently supports (1) PDF documents, and (2) public URLs or sitemaps for crawling and data extraction.
The tool uses retrieval-augmented generation (RAG), where the AI queries the vector database for relevant, context-specific documents before generating a response. By grounding the AI's outputs in your verified content, the system minimizes hallucinations and ensures responses are accurate and traceable to real data.
Yes, the tool includes version control to manage document updates. New versions are indexed while outdated content is flagged, ensuring the knowledge base remains current and reliable.
Coming Soon
This feature will be available in early 2025.