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vector-database-embedding

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Experimenting with Pinecone as vector data continues to take center stage in AI-native systems. The purpose of this project is to explore the core capabilities, benchmark performance across different embedding models, and better understand what is possible with vector search in production environments.

  • Updated May 3, 2025
  • Python
mira

AI agent with natural conversation, persistent memory, intelligent tool usage, and workflow automation. Works with OpenAI/Anthropic/local models, includes extensible tool system and PostgreSQL-based long-term memory with semantic search.

  • Updated Jun 16, 2025
  • Python

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