nomic-ai/semantic-search-app-template
Tutorial and template for a semantic search app powered by the Atlas Embedding Database, Langchain, OpenAI and FastAPI
This project helps developers build search applications that understand the meaning behind queries and content. You provide a dataset of text or other content, and it outputs a ready-to-deploy backend service that can semantically search that data. It's designed for developers creating smart search features for their own applications.
115 stars. No commits in the last 6 months.
Use this if you are a developer looking for a template to quickly build and deploy a semantic search backend for your application.
Not ideal if you are looking for a ready-to-use end-user application or a frontend interface, as this primarily provides the backend infrastructure.
Stars
115
Forks
26
Language
Python
License
MIT
Category
Last pushed
Sep 12, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/nomic-ai/semantic-search-app-template"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
deepset-ai/haystack-tutorials
Here you can find all the Tutorials for Haystack 📓
aryn-ai/sycamore
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
MaartenGr/PolyFuzz
Fuzzy string matching, grouping, and evaluation.
unum-cloud/USearch
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C,...
towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.