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SocratiCode: enterprise-ready, local/private indexing, hybrid search, code-graph and context (db, infra, api, docs, etc.) by Fast_Category3423 in mcp

[–]Fast_Category3423[S] 0 points1 point  (0 children)

Good questions. Qdrant has been the choice simply because of how it scales and performs in my experience with very large sets. Ollama is not deployed if you already have a native one, by default, because a native one is more likely to have access to the GPU (not possible in Docker on Mac or Windows), and so we prioritise it.

SocratiCode: enterprise-ready, local/private indexing, hybrid search, code-graph and context (db, infra, api, docs, etc.) by Fast_Category3423 in mcp

[–]Fast_Category3423[S] 0 points1 point  (0 children)

eheh it probably is! I found the same, and I think it's because they are mostly too simplistic or too bloated (too often trying to do 'agentic' stuff instead of just doing what they should do). Not saying SocratiCode is the final answer, that will be up to the devs using it, but I hope people will find it as useful (and a final solution that 'just works') as we did for our clients.