basic-usage
CommunityStore, search, and manage documents with LLMemory.
Authorjuanre
Version1.0.0
Installs0
System Documentation
What problem does it solve?
llmemory basic-usage provides a guided starting point for storing, indexing, and querying documents with a memory-backed, vector-enabled store, enabling developers to prototype and adopt document-centric workflows quickly.
Core Features & Use Cases
- Install prerequisites and initialize the database, add documents, and perform vector, text, and hybrid searches across tenants.
- Manage documents and chunks, query with filters, and retrieve metadata for audits and RAG workflows.
- Use cases include building search-enabled apps, knowledge bases, and multi-tenant document repositories with scalable retrieval.
Quick Start
Install LLMemory in a Python environment, configure a PostgreSQL+pgvector backend, initialize the schema, and begin by adding a document and performing a simple search to validate the setup.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: basic-usage Download link: https://github.com/juanre/llmemory/archive/main.zip#basic-usage Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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