-
AI Vector Search (Artificial Intelligence Vector Search) is an advanced information retrieval technique that enables searching within databases based on numerical vector representations of content, ra…
-
Sadly using a vector search database might be out of reach at the moment, but we can try one of these two approaches:
https://github.com/neuml/txtai/blob/master/examples/04_Add_semantic_search_to_E…
-
## Improvement Description
Integrate an opt-in semantic search feature into Documenso, leveraging OpenAI embeddings. This feature aims to enhance document search capabilities by providing more contex…
-
### Describe your configuration
- Extension name: firestore-semantic-search
- Extension version: 0.1.7
I have installed this extension, but I don't seem to be able to get anything out of it…
-
# Description/Context
Experiment with various approaches to running semantic search queries with opensearch, and combining the results from standard text-based search.
# Plan/Design
Some releva…
-
```
As for semantic search, Freebase have a great API, which includes DBpedia data
as well. We might utilize it.
Semantic search is not required for user search, do it only for stories and
places.
Y…
-
search code, text, and block images in a common vector space, with an approach like described in this post https://towardsdatascience.com/semantic-code-search-3cd6d244a39c
-
hi @satra i consulted chatgpt-4 about implementing semantic search, here is the answer, it recommend using `Elasticsearch`; other options are: Pre-Trained AI Models (e.g., BERT, GPT-3) and Google Prog…
-
Una ricerca semantica che prevede la definizione di parole e/o concetti nelle diverse lingue, con descrizione, sinonimi, antonimi, iponimi ed ioeronimi.
Rinviato a fase successiva
-
```
As for semantic search, Freebase have a great API, which includes DBpedia data
as well. We might utilize it.
Semantic search is not required for user search, do it only for stories and
places.
Y…