neuml/txtai
1
0
Fork 0
mirror of https://github.com/neuml/txtai.git synced 2026-10-11 21:39:55 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update documentation

Browse Source
This commit is contained in:
davidmezzetti
2023-08-06 18:59:18 -04:00
parent a8f8ae6e82
commit f2e89d9b2d
4 changed files with 7 additions and 11 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+3 -5
View File
@@ -27,9 +27,7 @@
</a>
</p>
-------------------------------------------------------------------------------------------------------------------------------------------------------
txtai is an all-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows.
txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.
![architecture](https://raw.githubusercontent.com/neuml/txtai/master/docs/images/architecture.png#gh-light-mode-only)
![architecture](https://raw.githubusercontent.com/neuml/txtai/master/docs/images/architecture-dark.png#gh-dark-mode-only)
@@ -40,14 +38,14 @@ Embeddings databases can stand on their own and/or serve as a powerful knowledge
Summary of txtai features:
- 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and multiple vector index backends (sparse, dense, hybrid, external)
- 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and multimodal indexing
- 📄 Create embeddings for text, documents, audio, images and video
- 💡 Pipelines powered by language models that run LLM prompts, question-answering, labeling, transcription, translation, summarizations and more
- ↪️️ Workflows to join pipelines together and aggregate business logic. txtai processes can be simple microservices or multi-model workflows.
- ⚙️ Build with Python or YAML. API bindings available for [JavaScript](https://github.com/neuml/txtai.js), [Java](https://github.com/neuml/txtai.java), [Rust](https://github.com/neuml/txtai.rs) and [Go](https://github.com/neuml/txtai.go).
- ☁️ Cloud-native architecture that scales out with container orchestration systems (e.g. Kubernetes)
txtai is built with Python 3.8+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi)
txtai is built with Python 3.8+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license.
## Why txtai?
docs/index.md
+3 -5
View File
@@ -29,9 +29,7 @@
</a>
</p>
-------------------------------------------------------------------------------------------------------------------------------------------------------
txtai is an all-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows.
txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.
![architecture](images/architecture.png#gh-light-mode-only)
![architecture](images/architecture-dark.png#gh-dark-mode-only)
@@ -42,11 +40,11 @@ Embeddings databases can stand on their own and/or serve as a powerful knowledge
Summary of txtai features:
- 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and multiple vector index backends (sparse, dense, hybrid, external)
- 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and multimodal indexing
- 📄 Create embeddings for text, documents, audio, images and video
- 💡 Pipelines powered by language models that run LLM prompts, question-answering, labeling, transcription, translation, summarizations and more
- ↪️️ Workflows to join pipelines together and aggregate business logic. txtai processes can be simple microservices or multi-model workflows.
- ⚙️ Build with Python or YAML. API bindings available for [JavaScript](https://github.com/neuml/txtai.js), [Java](https://github.com/neuml/txtai.java), [Rust](https://github.com/neuml/txtai.rs) and [Go](https://github.com/neuml/txtai.go).
- ☁️ Cloud-native architecture that scales out with container orchestration systems (e.g. Kubernetes)
txtai is built with Python 3.8+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi)
txtai is built with Python 3.8+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license.
logo.png
BIN
View File
Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 13 KiB

After

Width:  |  Height:  |  Size: 17 KiB

setup.py
+1 -1
View File
@@ -92,7 +92,7 @@ setup(
name="txtai",
version="6.0.0",
author="NeuML",
description="Semantic search and workflows powered by language models",
description="All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows",
long_description=DESCRIPTION,
long_description_content_type="text/markdown",
url="https://github.com/neuml/txtai",