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context-efficient-ai
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10 Commits (25523559aae9654d993d03a355e12d21a75a3211)

Author SHA1 Message Date
Avraham Sakal 25523559aa fetch facts on load, facts are deletable 3 months ago
Avraham Sakal caf36cf67b each generation/completion uses one system prompt and one user prompt for maximum clarity for the model 3 months ago
Avraham Sakal ee9e9424ab generate and save facts 3 months ago
Avraham Sakal 01d2997f77 use `lowdb` for faster iteration; use strings for ids and camelCase for field names for consistency 3 months ago
Avraham Sakal 1f80ad4ba9 factored-out system prompts into their own functions 3 months ago
Avraham Sakal 3ba60b999c generate `runningSummary` on each turn, and include it with the main completion 3 months ago
Avraham Sakal de26fc5eb5 improve ui consistency with immer; implement `addConversation` 3 months ago
Avraham Sakal 7a9f0c956c setup postgres and kyseley for most data instead of milvus 3 months ago
Avraham Sakal 4f356153bb * trpc same data shape as `generateText`
* read `.env` file
* use zustand for state management
* fix peer dependency warnings by installing zod
* install milvus client
4 months ago
Avraham Sakal 5ef118e9bc basic route-specific trpc file example 4 months ago
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