omi_transcript_segments

11 rows where conversation_id = "06e7e97c-10b7-40c8-9d90-1d1268af984a"

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id ▼ conversation_id text speaker_id speaker_name start_time end_time
181585 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a Talking to me? A little bit. Bit. I have a work question for you. Would you benefit from a personal knowledge base? For work stuff? 0 User 5.912784217798617e-07 27.202288236618188
181586 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a What that would mean is you dump you start dumping things you have into, like, a database. And then an LLM organizes and cultivates it. 0 User 27.762288236618133 36.76228823661813
181587 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a Then you can ask your LLM questions and it can you know what I mean? So it'd be like, legal doctrine, I don't know what case law. I I don't that's the question. Like, is that something that, like, professionally would be useful to you? 0 User 37.24228823661815 48.82228823661808
181588 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a Yeah. 0 User 49.7222932366185 50.282288236618115
181589 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a Yeah. More the excuse me, like, for, like, legal doctrine, you've already got tools that do this. Yeah. But for for help. Talking about just for me, are you thinking about stuff in general? 0 User 53.682288236618206 80.49387053489545
181590 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a Well, on Twitter for the last two weeks, everybody's been talking about this this guy came up with this scheme to create what he calls personal research knowledge bases. 0 User 81.1138705348958 89.9338705348955
181591 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a It's like you've have a topic you're trying to learn about or whatever. And you start dumping it into an LLM instead of just reading stuff and book marking and what we normally do. Oh, okay. You start throwing it at an LLM, and the LLM both like, reads it, summarizes it, organizes it, right, structures it, So it's like an extra layer on top. 0 User 90.55387053489585 111.87386553489569
181592 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a And then you can start asking and it and it has this loop where it constantly kind of refines its own internal model of the of the information. 0 User 112.59387053489581 119.88387053489578
181593 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a And and and people are really excited about this. Oh, this is such a good idea. This is so powerful. And so my first thought is, like, can I do something with this? 0 User 120.51387053489543 129.47387053489547
181594 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a And I'm like, well, I'm kinda doing my own thing. Like, I know how to use it for me. But then I was like, oh, maybe Vic maybe with his firm, this would be something. The idea would be like, like to play around with it with you, and if it's useful, then it would be like, oh, we can do this with people on a bigger scale. 0 User 129.99387053489545 148.94387053489572
181595 Exploring Personal LLM Knowledge Bases For Professionals 06e7e97c-10b7-40c8-9d90-1d1268af984a Yeah. Maybe other attorneys, maybe just other professionals in general. But but I need, like, a anyway, that's that's the motive for the question. 0 User 149.55387053489585 157.39388053489574

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CREATE TABLE omi_transcript_segments (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    conversation_id TEXT NOT NULL,
    text TEXT,
    speaker_id INTEGER,
    speaker_name TEXT,
    start_time REAL,
    end_time REAL,
    FOREIGN KEY (conversation_id) REFERENCES omi_conversations(id)
);
CREATE INDEX idx_omi_segments_conv ON omi_transcript_segments(conversation_id);