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@@ -22,6 +22,8 @@ I've recently started learning how to create embeddings using vector databases w
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#### Prompt Engineering
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+#### Fine Tuning vs. Semantic Search
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## Stack
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@@ -51,12 +53,18 @@ I've recently started learning how to create embeddings using vector databases w
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### Repos
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-- <https://github.com/pgvector/pgvector>
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-- <https://github.com/supabase/supabase>
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-- <https://github.com/facebook/docusaurus/discussions/8835>
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-- <https://github.com/windhamdavid/markprompt>
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+- PGVector <https://github.com/pgvector/pgvector>
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+- SupaBase <https://github.com/supabase/supabase>
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+- Docusaurus Integration <https://github.com/facebook/docusaurus/discussions/8835>
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+- MarkPrompt <https://github.com/windhamdavid/markprompt>
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- <https://github.com/windhamdavid/dw-markprompt>
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-- <https://supabase.com/customers/mendableai>
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+- Mendable <https://supabase.com/customers/mendableai>
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+- Llama Index <https://github.com/jerryjliu/llama_index>
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+- Llama Hub <https://github.com/emptycrown/llama-hub>
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+- Llama Index WordPress <https://github.com/emptycrown/llama-hub/tree/main/loader_hub/wordpress>
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+- Llama Index Git Repo <https://llamahub.ai/l/github_repo>
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+- Llama Index GPT Retrieval Plugin - <https://llamahub.ai/l/chatgpt_plugin>
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+
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### Resources
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