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Learning journey with Vector Databases for GenAI RAG applications, exploring Chroma, Pinecone, and Weaviate for efficient retrieval, indexing, and querying in AI-driven systems.

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Cover This repository documents my learning journey with Vector Databases for GenAI RAG applications. I explored, practiced, and implemented Chroma, Pinecone, and Weaviate to enhance retrieval efficiency in AI-driven systems. Through this process, I gained hands-on experience in vector search, indexing, querying, and integrating these databases into real-world RAG pipelines.

Outline:

  1. Chroma Vector Database
  2. Pinecone Vector Database
  3. Weaviate Vector Database

Referece

[1] https://docs.trychroma.com/docs
[2] https://docs.pinecone.io/guides
[3] https://weaviate.io/developers/weaviate

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Learning journey with Vector Databases for GenAI RAG applications, exploring Chroma, Pinecone, and Weaviate for efficient retrieval, indexing, and querying in AI-driven systems.

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