[Backend] Implement Supabase RPC for Finding Related Snippets

[nhphong]

Develop a Remote Procedure Call (RPC) in Supabase to find related snippets based on cosine similarity. This RPC should take a snippet ID as input and return a list of related snippets, excluding the original snippet itself.

Requirements:

• Utilize the pre-existing vector embeddings for all snippets to compute cosine similarity.
• Implement a function that calculates the cosine similarity between the given snippet's vector and all other snippets' vectors.
• Ensure that the related snippets returned do not include the snippet corresponding to the provided ID.
• Optimize the RPC for performance and scalability, considering the potential size of data.

Acceptance Criteria:

1. Input: The RPC accepts a single input, which is the snippet ID.
2. Output: The RPC returns a list of snippet IDs that are most similar to the given snippet, based on cosine similarity.
3. Exclusion: The list of related snippets must not include the original snippet ID.
4. Accuracy: The cosine similarity calculation must correctly identify related snippets.
5. Performance: The RPC should execute efficiently, providing results within an acceptable timeframe for large datasets.

Testing:

• Verify that the RPC correctly identifies and returns related snippets for a given snippet ID.
• Confirm that the original snippet is not included in the results.
• Test the RPC with various snippet IDs to ensure consistent performance and accuracy.

Notes:

• Ensure that the solution is well-documented, with clear instructions on how to invoke the RPC.
• Consider edge cases, such as when a snippet has no related snippets.

[linear]

VER-246 [Backend] Implement Supabase RPC for Finding Related Snippets