DiceTechJobs/VectorsInSearch
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
This project helps search engineers and data scientists build extremely fast and relevant search experiences using advanced vector search techniques. It takes high-dimensional data, often representing concepts or items, and processes it to enable rapid, 'conceptual' matches. The output is a highly optimized search system capable of returning the most semantically similar results quickly, even with massive datasets.
No commits in the last 6 months.
Use this if you need to build a search system that can find conceptually similar items or documents extremely fast, even when dealing with large volumes of complex data points like job descriptions or product features.
Not ideal if your search needs are limited to basic keyword matching or if you are not working with vector-based data representations.
Stars
86
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
May 12, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/DiceTechJobs/VectorsInSearch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
unmonoqueteclea/voilib
🎧 Podcast Search Engine. Try it now for free or run your own instance.
IuriiD/pinecone-faiss-pgvector
Comparing vector DBs Pinecone, FAISS & pgvector in combination with OpenAI Embeddings for semantic search
lukovicaleksa/semantic-search-mongodb-fastapi
This project demonstrates how you can enhance standard CRUD operations in your application using...
DrRuin/Personalized-Real-Estate-Agent
In an industry where personalization is key to customer satisfaction, your company wants to...
nmdra/Semantic-Search
A semantic search system built with PostgreSQL and pgvector, powered by Gemini for generating...