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| author | Munyoki Kilyungi | 2024-07-24 11:45:32 +0300 |
|---|---|---|
| committer | BonfaceKilz | 2024-07-24 12:38:18 +0300 |
| commit | d598467f0fc0ce4cc6db39e0df0f037f18da63d3 (patch) | |
| tree | 6750d2df80f2fcc6f6e9934a0ce62ee20647d569 /topics/meetings/jnduli_bmunyoki.gmi | |
| parent | ceec33736514d81b8281c10ce601be78ee8050cb (diff) | |
| download | gn-gemtext-d598467f0fc0ce4cc6db39e0df0f037f18da63d3.tar.gz | |
Add meeting notes for Shelby+Munyoki.
Signed-off-by: Munyoki Kilyungi <me@bonfacemunyoki.com>
Diffstat (limited to 'topics/meetings/jnduli_bmunyoki.gmi')
| -rw-r--r-- | topics/meetings/jnduli_bmunyoki.gmi | 14 |
1 files changed, 14 insertions, 0 deletions
diff --git a/topics/meetings/jnduli_bmunyoki.gmi b/topics/meetings/jnduli_bmunyoki.gmi index e5f2023..df5998d 100644 --- a/topics/meetings/jnduli_bmunyoki.gmi +++ b/topics/meetings/jnduli_bmunyoki.gmi @@ -1,4 +1,18 @@ # Meeting Notes +## 2024-07-23 +### LLM Meeting (@shelby+@bmunyoki) +* There's no clear way of ingesting human-readable data with context into the RAG Graph from RDF. +* What specific graph should we ingest into the RAG Graph from RDF? @bmunyoki suggested RIF, PubMed Metadata. We'll figure this out. +* @bonfacem recommended: Much better to work with SPARQL than directly with TTL files. +* We've uploaded rdf triples, yet they loose their strength as the RAG system is not undergirded with a knowledge graph. @bonfacem should read the following for more context and should reach out to @shelby on how to move forward with SPARQL more concretely: + +=> https://r2r-docs.sciphi.ai/cookbooks/knowledge-graph#r2r-knowledge-graph-configuration + +* We need to test the knowledge graph backend of R2R to see how feasible it is to use with the existing data (RDF). +* Fahamu just stored the object and lost the subject+predicate +* Loop in Alex. + + ## 2024-07-19 Plan for this week: |