Avelino
The `POST /chat/{chat_id}` receives one message at a time, when it receives it, it processes it in the llm and returns a message to you, example: - **QA 1:** hello...
when the prompt is too large, the request to the GPT is too slow example of what I'm calling a large prompt (2674 characters): ``` You are a virtual assistant...
Can't reconnect until invalid transaction is rolled back. Please `rollback()` fully before proceeding (Background on this error at: https://sqlalche.me/e/20/8s2b) 
```log /Users/avelino/projects/avelino/talkd/dialog/src/dialog/models/__init__.py:34: SAWarning: Did not recognize type 'vector' of column 'embedding' __table__ = Table("contents", metadata, autoload_with=engine) Traceback (most recent call last): File "/Users/avelino/projects/avelino/talkd/dialog/.venv/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3790, in get_loc return self._engine.get_loc(casted_key) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...
**Info:** - OS: macOS - Logseq ver: 0.8.18 - Plugin ver: 1.4.0 - Theme name: Bonofix theme v3.8.3 - [x] ⚠ Do i have issue with DISABLED my `custom.css`? **Description:**...
the pgvector library supports some python ORMs, it would be important for timescale's python-vector to also support them (at least in the "main" pgvector). [example](https://github.com/pgvector/pgvector-python?tab=readme-ov-file#sqlalchemy): ```py from pgvector.sqlalchemy import Vector...
The plugin could support converting emoji names between `::` into emoji. **ex:** `:grinning-face:` 😀 If it has auto-complete emoji (modal) with trigger of `:` it would be perfect.
**theme:** Bonofix Theme
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