llama-index-cmem
llama-index tools eccenca Corporate Memory Integration
Usage
The llama-index-cmem package allows using eccenca Corporate Memory together with LlamaIndex.
Components
- SPARQLReader: Use to load documents from SPARQL query to use in ingestion pipeline.
- SPARQLRetriever: Execute SPARQL query to retrieve context from SPARQL endpoint.
- NLSPARQLRetriever: Text-to-SPARQL retriever to retrieve context from SPARQL endpoint using natural language.
- CMEMQueryCatalogRetriever: Execute SPARQL query from CMEM query catalog to retrieve context from SPARQL endpoint.
There are several example notebooks available:
- NLSPARQLRetriever and CMEMQueryCatalogRetriever.
- ChatEngine: Chatting with an RDF knowledge graph data.
- QueryEngine: Single Q&A engine with RDF knowledge graph data.
- PGVector: Generate embeddings from RDF knowledge graph and query with natural language (via vector similarity).
4 maintainers
Release files for llama-index-cmem 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llama_index_cmem-0.6.1.tar.gz | 11.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llama_index_cmem-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.6 kB
Release files / llama_index_cmem-0.6.1.tar.gz
| Download URL | llama_index_cmem-0.6.1.tar.gz |
|---|---|
| Size | 11.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / llama_index_cmem-0.6.1-py3-none-any.whl
| Download URL | llama_index_cmem-0.6.1-py3-none-any.whl |
|---|---|
| Size | 14.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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poetry/2.1.2 CPython/3.11.11 Linux/6.8.0-1021-azure
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