denimboy
https://manual.manticoresearch.com/Searching/KNN#Auto-Embeddings-(Recommended)
and hybrid search: https://manual.manticoresearch.com/Searching/Hybrid_search#Hybrid-search
With these two features you can set up RAG with hybrid search in about the time it takes to install the server and insert the documents.Manticore is really performant and uses far fewer resources than similar search engines like elastic.
I may be over optimistic but "car-dealer speak" sounds like something an AI could be trained on and access to inventory might be a couple of tool calls to the appropriate APIs.
Qwen3 Vision Language Embedding Model
Craig Newmark backs Global Signal Exchange anti-fraud push
Duckduck go offers "pro" subscription plan
I've done a few other experiments with my foreign speaking friends and it appeared to me that dogs understand the language their owners speak primarily.
Advanced Python Development Workflow in Emacs
Chevron will move its headquarters to Houston
CalFire incidents map and data (CSV,JSON)
X headquarters will move from S.F. to Austin, TX
https://github.com/cg123/mergekit
you can slice off layers and blend models with different strategies.I think the ones on el Camino actually came a couple years later. One tiny one in front of Safeway and another down south a bit. I think this is the one he ranks as number one.
I really recommend trying anyone of these places if you can. Really the simple ranchero style is delicious and unlike other Mexican food you’ve had. Sorry not a lot of vegetables but you can skip the soda and get an agua Fresca or carrot juice to make up for it.
DuckDuckGo adds CHatpGPT powered DuckAssist
I had a 1972 Triumph Bonneville which had a "tickler" button on each carb instead of a choke. That meant to start it up you would press each tickler button until a bit of gas shot out invariably on your hand but also the engine and the sometimes hot exhaust. Only after this ritual was performed could you jump on the kickstart (no electric start). So you end up smelling like gas.
Q: Why to the British drink warm beer? A: Because Lucas makes electrics.
A lot of the article is about "you'll never find 2nd" which is in large part to the weird shifting pattern. Reverse is where first usually is, first is where second usually is and the rest are in a kind of off by one pattern from there. This was actually considered a feature since supposedly it allows the driver to make the shift from first to second faster.
The vagueness of the stick is very true and something every 914 owner can relate to. Those first couple weeks you spend some time hunting for the right slot. I went from first to fifth many times before a muscle memory was developed and I didn't have to think about it.
StarSpace is a general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems:
Learning word, sentence or document level embeddings.
Information retrieval: ranking of sets of entities/documents or objects, e.g. ranking web documents.
Text classification, or any other labeling task.
Metric/similarity learning, e.g. learning sentence or document similarity.
Content-based or Collaborative filtering-based Recommendation, e.g. recommending music or videos.
Embedding graphs, e.g. multi-relational graphs such as Freebase.
Image classification, ranking or retrieval (e.g. by using existing ResNet features).
In the general case, it learns to represent objects of different types into a common vectorial embedding space, hence the star ('*', wildcard) and space in the name, and in that space compares them against each other. It learns to rank a set of entities/documents or objects given a query entity/document or object, which is not necessarily the same type as the items in the set.