LlamaIndex Retrievers Integration: Galaxia
Galaxia Knowledge Base
Galaxia Knowledge Base is an integrated knowledge base and retrieval mechanism for RAG. In contrast to standard solution, it is based on Knowledge Graphs built using symbolic NLP and Knowledge Representation solutions. Provided texts are analysed and transformed into Graphs containing text, language and semantic information. This rich structure allows for retrieval that is based on semantic information, not on vector similarity/distance.
Implementing RAG using Galaxia involves first uploading your files to Galaxia, analyzing them there and then building a model (knowledge graph). When the model is built, you can use GalaxiaRetriever to connect to the API and start retrieving.
Installation
pip install llama-index-retrievers-galaxia
Usage
from llama_index.retrievers.galaxia import GalaxiaRetriever
from llama_index.core.schema import QueryBundle
retriever = GalaxiaRetriever(
api_url="beta.api.smabbler.com",
api_key="<key>",
knowledge_base_id="<knowledge_base_id>",
)
result = retriever._retrieve(QueryBundle(
"<test question>"
))
print(result)
Metadata
Release files for llama-index-retrievers-galaxia 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| llama_index_retrievers_galaxia-0.3.0.tar.gz | 4.1 kB | Without provenance | Details for llama_index_retrievers_galaxia-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llama_index_retrievers_galaxia-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for llama_index_retrievers_galaxia-0.3.0-py3-none-any.whl |
Total release size: 7.7 kB
Release files / llama_index_retrievers_galaxia-0.3.0.tar.gz
| Download URL | llama_index_retrievers_galaxia-0.3.0.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0f110b170e10ec0849ec9584c0cfd237f0d17a2caa111a4eb52cb3d8733b1a97
|
|
BLAKE2b-256 checksum How to use checksums |
2cd751e822b6cb72802280904d897444f8ad78c861360fc29fbc38935a8ec7a6
|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Release files / llama_index_retrievers_galaxia-0.3.0-py3-none-any.whl
| Download URL | llama_index_retrievers_galaxia-0.3.0-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3430c9ca2e123b5e65081d97ec094a015082bd55c49565a3710187fd9772e9df
|
|
BLAKE2b-256 checksum How to use checksums |
1d2a560dbebc9fd3a59e8df87f131c21a3a41a1beee06336eea856c7cec369bc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for llama-index-retrievers-galaxia 0.3.0
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