agno-knowledge
CommunityBuild searchable knowledge bases for agents.
Software Engineering#semantic search#embeddings#rag#vector database#knowledge base#agno#document loading
Authorajshedivy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the creation and management of sophisticated knowledge bases for AI agents, allowing them to access and utilize vast amounts of information for more informed responses and actions.
Core Features & Use Cases
- Vector Database Integration: Supports ChromaDB, PgVector, and LanceDB for efficient semantic search.
- Diverse Data Loading: Load documents from URLs, local files (PDF, DOCX, TXT), and entire directories.
- Customizable Embeddings & Chunking: Utilize various embedders (Google, OpenAI, Ollama) and chunking strategies for optimal data representation.
- Use Case: An AI assistant needs to answer questions about a company's internal documentation. This Skill allows you to load all documentation into a vector database, enabling the agent to perform semantic searches and provide accurate, context-aware answers.
Quick Start
Use the agno-knowledge skill to insert the document from the URL 'https://docs.agno.com/introduction.md' into the knowledge base.
Dependency Matrix
Required Modules
agno[chromadb,google,openai]chromadbpypdfpython-docxlancedb
Components
scriptsreferences
💻 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: agno-knowledge Download link: https://github.com/ajshedivy/agno-cookbook/archive/main.zip#agno-knowledge Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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