Banno
It's true. The scientist in me got the better of my moral compass.I notice you didn't wait for an answer and just went ahead and did it. So preoccupied with whether or not you could, you didn't stop for more than a moment to think if you should (to paraphrase Michael Crichton). — Jamal
No, I built a JSON file and converted it to embeddings, then created a FAISS index from that... this took a while. The question is converted to an embedding vector, then quickly finds the ten (up from 4) most similar posts for the LLM. 384 vectors per post.So it's reading all your posts before it comes up with an answer each time? — Jamal
Banno
I helped you turn a complete export of your forum posts into a fully searchable, locally hosted system, culminating in a personal chatbot, BannoBot, capable of answering questions based on your own writing. First, we converted your raw text file into structured JSON, extracting discussions and comments, and ensured it was readable by Python. We then loaded this JSON into an SQLite database, allowing easy querying and verification. To make the content searchable via a web interface, we built a static HTML page that queries the JSON using JavaScript, serving it through a local HTTP server on your Mac, so you could open it in Safari without complex setup.
Next, we preprocessed the posts by generating embeddings. Using the MiniLM-L6-v2 model, each post was converted into a 384-dimensional numerical vector capturing its semantic meaning. These vectors were stored locally as embeddings.npy . To enable fast similarity search, we built a FAISS index from the embeddings, allowing the bot to retrieve only the most relevant posts for a user query rather than scanning all 29,918 posts each time.
We then integrated the BannoBot script, which takes a user’s question, converts it into an embedding, searches the FAISS index for top-k relevant posts, and constructs a prompt including these excerpts. This prompt is passed to a local LLM (Orca-Mini), which generates a natural-language answer in the style and content of your posts. All processing—embedding, search, and LLM inference—occurs on your laptop, ensuring privacy and avoiding cloud APIs.
Finally, we tested the system end-to-end: verifying the JSON, checking embeddings and index consistency, and running the bot interactively. Optional improvements include richer prompts and a GUI wrapper for easier interaction. The result is a fully local, private chatbot that reads your posts semantically and produces coherent answers, effectively turning your entire post archive into an intelligent, searchable personal assistant.
Jamal
Next, we preprocessed the posts by generating embeddings. Using the MiniLM-L6-v2 model, each post was converted into a 384-dimensional numerical vector capturing its semantic meaning. These vectors were stored locally as embeddings.npy . To enable fast similarity search, we built a FAISS index from the embeddings, allowing the bot to retrieve only the most relevant posts for a user query rather than scanning all 29,918 posts each time.
We then integrated the BannoBot script, which takes a user’s question, converts it into an embedding, searches the FAISS index for top-k relevant posts, and constructs a prompt including these excerpts. This prompt is passed to a local LLM (Orca-Mini), which generates a natural-language answer in the style and content of your posts. All processing—embedding, search, and LLM inference—occurs on your laptop, ensuring privacy and avoiding cloud APIs.
I'll tempt you to do something like this with the entire data file... a master philosophy forum bot... — Banno
Jamal
Jamal
hypericin
Jamal
Outlander
OK, I'll leave them. I've found a decent compromise, which is that they won't be indexed by search engines but anyone can visit those pages, given the URLs (or find them from the archive's search page or whatever). — Jamal
Jamal
Jamal
Outlander
The one big improvement I could make to the archive is to include the categories. — Jamal
<li class="(?:.+?) Active"><strong><a href="(.+?)">(.+?)</a></strong></li>
Leontiskos
If you're interested, the main software requirements to accommodate the new laws are more configuration, crucially including the configuration of the sign-up form, and more moderation tools, crucially including the flagging and moderation of direct messages. — Jamal
I notice you didn't wait for an answer and just went ahead and did it. So preoccupied with whether or not you could, you didn't stop for more than a moment to think if you should (to paraphrase Michael Crichton). — Jamal
Leontiskos
When the sidebar is collapsed it's pretty distraction-free, no? — Jamal
Yes, I think so. That ability to collapse the sidebar is what I was thinking of. :up: — Leontiskos
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