Tweaks to rag prompt

docker-compose-mix.yaml

@@ -143,6 +143,10 @@ services:
       - "chunker-recursive"
       - "-p"
       - "pulsar://pulsar:6650"
+      - "--chunk-size"
+      - "4000"
+      - "--chunk-overlap"
+      - "120"
     restart: on-failure:100
 
   vectorize:
@@ -207,23 +211,41 @@ services:
       - "pulsar://pulsar:6650"
       - "-k"
       - ${COHERE_KEY}
+      - "-m"
+      - "c4ai-aya-23-35b"
     restart: on-failure:100
     
   text-completion-rag:
     image: docker.io/trustgraph/trustgraph-flow:0.5.6
     command:
-      - "text-completion-ollama"
+      - "text-completion-cohere"
       - "-p"
       - "pulsar://pulsar:6650"
-      - "-r"
-      - "http://${OLLAMA_HOST}:11434/"
+      - "-k"
+      - ${COHERE_KEY}
+      - "-m"
+      - "c4ai-aya-23-8b"
       - "-i"
       - "non-persistent://tg/request/text-completion-rag"
       - "-o"
       - "non-persistent://tg/response/text-completion-rag-response"
-      - "-m"
-      - "qwen2:1.5b"
     restart: on-failure:100
+  
+  #text-completion-rag:
+  #  image: docker.io/trustgraph/trustgraph-flow:0.5.6
+  #  command:
+  #    - "text-completion-ollama"
+  #    - "-p"
+  #    - "pulsar://pulsar:6650"
+  #    - "-r"
+  #    - "http://${OLLAMA_HOST}:11434/"
+  #    - "-i"
+  #    - "non-persistent://tg/request/text-completion-rag"
+  #    - "-o"
+  #    - "non-persistent://tg/response/text-completion-rag-response"
+  #    - "-m"
+  #    - "gemma2:2b"
+  #  restart: on-failure:100
 
   graph-rag:
     image: docker.io/trustgraph/trustgraph-flow:0.5.6

tests/test-graph-rag

@@ -5,7 +5,7 @@ from trustgraph.graph_rag_client import GraphRagClient
 
 rag = GraphRagClient(pulsar_host="pulsar://localhost:6650")
 
-query="""Write a blog post describing the key points desribing the researcher's methodology for finding Leo VI.
+query="""List 20 key points to describe the research that led to the discovery of Leo VI.
 """
 
 resp = rag.request(query)

trustgraph/graph_rag.py

@@ -228,16 +228,13 @@ class GraphRag:
 
         kg =  self.get_cypher(query)
 
-        prompt=f"""<instructions>Study the knowledge graph provided, and use
-the information to answer the question.  The question should be answered
-in plain English only.
-</instructions>
-<knowledge-graph>
+        prompt=f"""Study the following set of knowledge statements. The statements are written in Cypher format that has been extracted from a knowledge graph. Use only the provided set of knowledge statements in your response. Do not speculate if the answer is not found in the provided set of knowledge statements.
+
+Here's the knowledge statements:
 {kg}
-</knowledge-graph>
-<question>
+
+Use only the provided knowledge statements to respond to the following:
 {query}
-</question>
 """
 
         return prompt