txtai

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31.
Ways to grow your open-source project(medium.com)
5 points by txtai 4y ago|0 comments
32.
Introduction to Semantic Search(medium.com)
3 points by txtai 4y ago|0 comments
33.
Show HN: Txtai 5.2 released: open-source semantic search(github.com)
4 points by txtai 4y ago|0 comments
34.
by txtai 4y ago
v5.2 adds TextToSpeech and Cross-Encoder pipelines. The performance of the embeddings.batchtransform method was significantly improved, enabling a speed up in building semantic graphs. Default configuration is now available for Embeddings,
35.
Txtai 5.2 released: open-source semantic search(github.com)
2 points by txtai 4y ago|1 comments
36.
Debug and fix slow ONNX GPU performance(medium.com)
1 points by txtai 4y ago|0 comments
37.
by txtai 4y ago
This is a lightweight, low dependency and fast text-to-speech (TTS) implementation in Python. The models are from ESPnet and exported to ONNX. Text is tokenized using ttstokenizer ( https://github.com/neuml/ttstokenizer
38.
High quality, fast performing, local text to speech generation(colab.research.google.com)
1 points by txtai 4y ago|1 comments
39.
High quality, fast performing, local text to speech generation(colab.research.google.com)
1 points by txtai 4y ago|0 comments
40.
by txtai 4y ago
Duckdb is on the roadmap. SQLite is the first implementation. The plan is to extend the interface for other database types, including Duckdb.
41.
by txtai 4y ago
Sure thing. Examples can be found here: https://neuml.github.io/txtai/examples/ This one re-ranks the output from an Elasticsearch index - https://colab.research.google.com/github/neuml/t
42.
by txtai 4y ago
It's all local except for downloading the transformers models for vectorization. TRANSFORMERS_OFFLINE_MODE can be set and models downloaded manually for offline use.
43.
Semantic Search with SQLite(neuml.github.io)
107 points by txtai 4y ago|7 comments
44.
Machine Translation for Medical Chats(medium.com)
1 points by txtai 4y ago|0 comments
45.
Getting Started with Semantic Search(medium.com)
3 points by txtai 4y ago|0 comments
46.
Getting Started with Semantic Search(medium.com)
1 points by txtai 4y ago|0 comments
47.
Getting Started with Semantic Search(medium.com)
4 points by txtai 4y ago|0 comments
48.
by txtai 4y ago
Currently, topic categories are used to label the generated topics, hence the single additional level. Expanding functionality to include something like this is possible though. The community detection algorithms kind of do this in a way. E
49.
Ways to grow your open-source project(medium.com)
4 points by txtai 4y ago|0 comments
50.
by txtai 4y ago
With the method discussed here you can add a list of labels to categorize generated topics. This isn't quite what you're looking for but it does create a two level hierarchy. Reference: https://neuml.github.io/txta
51.
Topic modeling with semantic graphs: a different approach(neuml.github.io)
10 points by txtai 4y ago|5 comments
52.
by txtai 4y ago
Dimensionality reduction with UMAP combined with HDBSCAN is a popular topic modeling method found in a number of libraries. txtai takes a different approach with a semantic graph. When enabled, txtai builds a semantic graph at index time as
53.
Ways to grow your open-source project(medium.com)
3 points by txtai 4y ago|0 comments
54.
by txtai 4y ago
There was a recent HN Post for codequestion which builds an offline semantic index (using https://github.com/neuml/txtai ) on the archive.org Stack Overflow dumps - https://news.ycombinator.com/item?id=3
55.
Lessons learned in growing an open-source project(medium.com)
5 points by txtai 4y ago|0 comments
56.
by txtai 4y ago
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. 5.1 adds new model support for the translation pipeline, OpenAI Whisper support in the transcription pipeline and ARM Docker imag
57.
Txtai 5.1: better machine translation, Whisper transcription and ARM support(github.com)
4 points by txtai 4y ago|1 comments
58.
by txtai 4y ago
txtai 5.1 adds new model support for the translation pipeline, OpenAI Whisper support in the transcription pipeline and ARM Docker images. Topic modeling was also updated with improvements, including how to use BM25/TF-IDF indexes to d
59.
Txtai 5.1 released: new translation models, Whisper transcription and ARM images(github.com)
1 points by txtai 4y ago|1 comments
60.
by txtai 4y ago
With the rapid pace of development in machine learning, the quality of seq2seq translation models are fast approaching what's available on cloud platforms. Convenience, cost and privacy are all good reasons to consider. In the case of

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