Added doc embedding support (#41)

* document embedding writer & query
* Added test query for doc embeddings
* Bump version
* Added doc rag prompt
* Document RAG service

tests/test-doc-embeddings

@@ -0,0 +1,22 @@
+#!/usr/bin/env python3
+
+import pulsar
+from trustgraph.clients.document_embeddings_client import DocumentEmbeddingsClient
+from trustgraph.clients.embeddings_client import EmbeddingsClient
+
+ec = EmbeddingsClient(pulsar_host="pulsar://localhost:6650")
+
+vectors = ec.request("What caused the space shuttle to explode?")
+
+print(vectors)
+
+llm = DocumentEmbeddingsClient(pulsar_host="pulsar://localhost:6650")
+
+limit=10
+
+resp = llm.request(vectors, limit)
+
+print("Response...")
+for val in resp:
+    print(val)
+

tests/test-doc-prompt

@@ -0,0 +1,25 @@
+#!/usr/bin/env python3
+
+import pulsar
+from trustgraph.clients.prompt_client import PromptClient
+
+p = PromptClient(pulsar_host="pulsar://localhost:6650")
+
+docs = [
+    "In our house there is a big cat and a small cat.",
+    "The small cat is black.",
+    "The big cat is called Fred.",
+    "The orange stripey cat is big.",
+    "The black cat pounces on the big cat.",
+    "The black cat is called Hope."
+]
+
+query="What is the name of the cat who pounces on Fred?  Provide a full explanation."
+
+resp = p.request_document_prompt(
+    query=query,
+    documents=docs,
+)
+
+print(resp)
+

tests/test-doc-rag

@@ -0,0 +1,15 @@
+#!/usr/bin/env python3
+
+import pulsar
+from trustgraph.clients.document_rag_client import DocumentRagClient
+
+rag = DocumentRagClient(pulsar_host="pulsar://localhost:6650")
+
+query="""
+This knowledge graph describes the Space Shuttle disaster.
+Present 20 facts which are present in the knowledge graph."""
+
+resp = rag.request(query)
+
+print(resp)
+