Local Knowledge Base
Automatically parse uploaded files (PDFs, images, Word, etc.) to build a custom knowledge base for expert Q&A, content generation, and knowledge extraction.
What Is Local Knowledge Base?
Local Knowledge Base is an advanced, high-performance local Retrieval-Augmented Generation (RAG) and private knowledge engineering skill on EasyClaw. Designed specifically to operate entirely locally on your system with 100% data security, it automatically parses uploaded files — including PDFs, images, Word documents, and text files — to build a customized, semantic knowledge base, enabling you to run expert Q&As, extract core outlines, and generate standard user guides backed by verifiable inline source citations.
The skill is built for developers archiving technical documentation guides, business researchers building private industry knowledge bases, and team leads standardizing training manuals.
The expected outcome is a structured, secure Local Knowledge Base: featuring automated document chunking, semantic relationship mapping, full-text and vector-search queries, and structured article or FAQ generations directly inside your workspace.
How Local Knowledge Base Works
1. Analyze input documents and scope. Provide local absolute paths to the documents or folders you want to index (e.g., product manuals or research papers).
2. Local parsing and semantic chunking. The skill headlessly unzips and reads the target files, executing specialized text extraction and semantic chunking to divide the documents into cohesive, highly logical text blocks.
3. Knowledge base indexing. It builds a structured local directory database (`public/data/knowledge_bases/`), mapping extracted text chunks to unique, searchable reference indexes.
4. Factual, sourced Q&A. When you ask a technical question, the skill searches the indexed chunks, retrieves the most contextually relevant passages, and synthesizes a verified answer accompanied by precise inline source citations (referencing exact filenames and paragraph numbers).
5. Content generation. It can use the indexed knowledge base to write comprehensive user guides, technical API docs, or structured FAQs, ensuring 100% factual alignment with your source documents.
Key Features
- 100% local indexing: Builds semantic databases locally from PDFs, images, and Word files.
- Verifiable sourced Q&A: Answers questions with precise inline citations referencing source files.
- Automatic document chunking: Divides dense documents into logical, semantic text blocks.
- Technical guide generator: Generates complete, factually aligned user manuals and APIs docs.
- Local file system read/write: Read and index files directly from any folder on your machine securely.
- Semantic relationship mapping: Builds connections between related topics inside your knowledge base.
What Problems Does Local Knowledge Base Solve?
1. Building a local technical knowledge base for developer onboarding
A software team has 15 different PDF and Word guides explaining their system architecture, deployment routines, and database schemas. They ask the skill to build a knowledge base. The tool parses and indexes the files. A newly hired developer can ask the knowledge base: *"How do we run database migrations in staging?"* and receive the exact command sequence accompanied by a citation to the specific deployment guide.
2. Writing an EasyClaw User Guide based on local documents
A product team has finished developing a new software tool and has scattered spec sheets. They index the files in the knowledge base, then ask the skill to write an "EasyClaw User Guide." The skill retrieves the relevant features, structures the manual with clear sections (Introduction, Setup, Features, FAQs), and generates a comprehensive, publication-ready user guide.
3. Extracting key outlines and action steps from industry reports
An analyst has a 100-page market research report. Instead of reading it linearly, they index it and ask the skill to "extract the core outlines and logical flows." The skill retrieves the key chapters, identifies the primary trends, and compiles a clean, structured outline of the report's main action steps, saving hours of manual reading.
4. Running highly secure financial audits offline
A corporate finance team needs to analyze private transaction and tax manuals. Because of strict compliance rules, they cannot upload the files to public cloud AIs. They run the Local Knowledge Base skill offline on their machine. The skill parses the manuals, allowing the team to run complex compliance audits and Q&As with 100% data security.
5. Building an automated product FAQ directory
A customer support lead indexes all customer feedback logs and product spec sheets. They ask the skill to "generate a structured FAQ directory." The skill extracts the most common user questions, compiles clear, factually accurate answers backed by the spec sheets, and generates a ready-to-publish FAQ page.
Example Workflow
A developer needs to build a local knowledge base from their project's technical specifications.
1. They open EasyClaw and activate Local Knowledge Base.
2. They run: *"Build Knowledge Base: Create a local database from 'D:\\project\\specs\\System_Architecture.pdf'."*
3. The skill parses the PDF, executes semantic chunking, and indexes the document.
4. It saves the structured database under `public/data/knowledge_bases/system-arch/`.
5. The developer asks: *"What is our database connection pooling limit?"*
6. The skill retrieves the exact passage and replies: *"The connection pool limit is set to 50 connections [Source: System_Architecture.pdf, Page 12]."*
Factual technical answers retrieved headlessly in under 30 seconds.
Getting Started with Local Knowledge Base
Add this skill to your EasyClaw workspace
Describe your task in a chat message
Review the output and iterate if needed
Export or share the results directly from EasyClaw
Combine with other skills to build automated workflows
Frequently Asked Questions
What file formats are supported by the local knowledge base?
The skill natively supports: PDF documents (`.pdf`), Word files (`.docx`), text files (`.txt`, `.md`), and image formats (`.jpg`, `.png`) with clean text layouts.
Is an active internet connection required to index or query files?
No. All document parsing, semantic chunking, database indexing, and RAG Q&As are executed entirely locally on your machine. You can run all knowledge base tasks completely offline.
How does the "Sourced Q&A" prevent hallucinations?
The skill retrieves relevant text chunks first, feeds them into its context window, and bases its answer strictly on that retrieved data. It is programmatically forbidden from generating facts or references outside your indexed source documents.
What is "semantic chunking"?
Semantic chunking is an advanced text-splitting technique that divides documents based on logical topic shifts, paragraph boundaries, and headers (rather than arbitrary character counts), ensuring each text chunk retains complete, readable meaning.
What is the maximum folder size I can index?
The local database can index folders containing dozens of documents spanning hundreds of pages. For optimal performance, keep active project knowledge bases targeted to relevant directories rather than indexing your entire hard drive.
Can I delete or rebuild a saved knowledge base?
Yes. All database indexes, chunk files, and configurations are stored locally under `public/data/knowledge_bases/` in your workspace. You can completely delete or rebuild any knowledge base folder in one click.
Can I translate and search documents simultaneously?
Yes. You can index foreign-language manuals and ask the skill: "Search my notes and translate the answers into English," receiving structured, English-language briefs backed by the original source citations.
Does the skill support vector search?
Yes. The local search engine combines full-text keyword indexing with semantic vector proximity matching to ensure high retrieval rates, even if your query uses different synonyms than the source document.
Is my private data shared with other EasyClaw users?
No. All data processing, indexing, and local file writes are executed entirely locally in your workspace session. Your files, configurations, and queries remain strictly confidential.
Can I export my knowledge base?
Yes. The compiled knowledge graph schemas, text chunks, and index logs are written directly as standard JSON and Markdown files in your exports directory, ready for backup or system migration.
Browse more in Academic or all skills.
Add Local Knowledge Base to Your Workflow
Get EasyClaw, add this skill, and start building AI agent workflows in minutes.
Get EasyClaw Free →