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Sherpa: AI-Augmented Thinking Companion
How To
Tutorials
1. Create a Blog Writer with Sherpa
2. Create a PDF Reader with Sherpa
3. Add Citation to Sherpa Response
4. Refine Sherpa search results
5. Controlling Agents with States
6. Asynchronous Execution and Multi-Agent
7. Self-consistency with Pytandic Objects using Sherpa
8. Cost Tracking with Sherpa
9. Create a Blueprint Parser Creator with Sherpa
10. Agent Persistence with Sherpa
Talk to Sherpa
Run Your own Sherpa SlackBot
Set up Sherpa Slackbot in your Own Workspace
Run and Develop Sherpa Slackbot
Set up Pinecone
Setup Local VectorDB with Production Data
Contribute
Contribute via GitHub
Development Basics
Test Guidelines
Release Process
API
Sherpa API Docs
sherpa_ai.actions package
sherpa_ai.agents package
sherpa_ai.config package
sherpa_ai.connectors package
sherpa_ai.database package
sherpa_ai.error_handling package
sherpa_ai.memory package
sherpa_ai.runtime package
sherpa_ai.models package
sherpa_ai.output_parsers package
sherpa_ai.policies package
sherpa_ai.prompts package
sherpa_ai.scrape package
sherpa_ai.test_utils package
sherpa_ai.verbose_loggers package
sherpa_ai.output_parsers package
About
About Sherpa
Sherpa AI Concepts
Sherpa AI Architecture
Why Sherpa?
DevOps -> MLOps -> KnowledgeOps
Rise of Autonomous Information Seeking Companions
Project Updates
Sherpa UPDATE - 7 JULY 2023
Sherpa UPDATE - 11 AUGUST 2023
Sherpa UPDATE - 29 SEPTEMBER 2023
Testing Strategies for Large Language Models: Sherpa Update
LLM Multi-Agent Framework
Repository
Open issue
Why Sherpa?
Why Sherpa?
#
DevOps -> MLOps -> KnowledgeOps
Rise of Autonomous Information Seeking Companions
