[tikkun]

Pinecone and Milvus would be alternatives for their use of FAISS for the vector store and search component. I think more of the embeddings difference would be noticed by what’s used for creating the embeddings (eg the ones here https://news.ycombinator.com/item?id=36649579 instead of the OpenAI embeddings API they used), rather than noticing differences from the embedding store/search alternatives which I can’t think of what the difference would be other than maybe performance at a large scale and cost and personal preference / developer experience.

Hadn’t heard of Quickwit but from a quick glance at their site it doesn’t look like a vector store, seems perhaps unrelated.

For tools for making custom ChatGPTs see my list: https://llm-utils.org/List+of+tools+for+making+a+%22ChatGPT+...

Fine tuning as a service there’s Lamini AI, aimed at enterprises.

Other embeddings startups there’s Weaviate.