This commit is contained in:
2026-01-10 07:50:18 -03:00
parent fe049b0555
commit 2e3f74d8dd
9 changed files with 110 additions and 14 deletions

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.idea/codeStyles/Project.xml generated Normal file
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<component name="ProjectCodeStyleConfiguration">
<code_scheme name="Project" version="173">
<ScalaCodeStyleSettings>
<option name="MULTILINE_STRING_CLOSING_QUOTES_ON_NEW_LINE" value="true" />
</ScalaCodeStyleSettings>
</code_scheme>
</component>

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.idea/codeStyles/codeStyleConfig.xml generated Normal file
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<component name="ProjectCodeStyleConfiguration">
<state>
<option name="PREFERRED_PROJECT_CODE_STYLE" value="Default" />
</state>
</component>

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.idea/misc.xml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" languageLevel="JDK_24" default="true" project-jdk-name="24" project-jdk-type="JavaSDK">
<output url="file://$PROJECT_DIR$/out" />
</component>
</project>

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.idea/modules.xml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/rfp_response_automation.iml" filepath="$PROJECT_DIR$/.idea/rfp_response_automation.iml" />
</modules>
</component>
</project>

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.idea/rfp_response_automation.iml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<module type="JAVA_MODULE" version="4">
<component name="NewModuleRootManager" inherit-compiler-output="true">
<exclude-output />
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

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.idea/vcs.xml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
</component>
</project>

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# Sample guideline, please follow similar structure for guideline with code samples
# 1. Suggest using streams instead of simple loops for better readability.
# <example>
# *Comment:
# Category: Minor
# Issue: Use streams instead of a loop for better readability.
# Code Block:
#
# ```java
# // Calculate squares of numbers
# List<Integer> squares = new ArrayList<>();
# for (int number : numbers) {
# squares.add(number * number);
# }
# ```
# Recommendation:
#
# ```java
# // Calculate squares of numbers
# List<Integer> squares = Arrays.stream(numbers)
# .map(n -> n * n) // Map each number to its square
# .toList();
# ```
# </example>

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@@ -52,6 +52,14 @@ llm_for_rag = ChatOCIGenAI(
auth_profile="DEFAULT",
)
embeddings = OCIGenAIEmbeddings(
model_id="cohere.embed-multilingual-v3.0",
service_endpoint="https://inference.generativeai.us-chicago-1.oci.oraclecloud.com",
compartment_id="ocid1.compartment.oc1..aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
auth_profile="DEFAULT",
)
oracle_conn = oracledb.connect(
user=USERNAME,
password=PASSWORD,
@@ -170,13 +178,6 @@ ensure_oracle_text_index(
"IDX_REL_" + GRAPH_NAME + "_RELTYPE"
)
embeddings = OCIGenAIEmbeddings(
model_id="cohere.embed-multilingual-v3.0",
service_endpoint="https://inference.generativeai.us-chicago-1.oci.oraclecloud.com",
compartment_id="ocid1.compartment.oc1..aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
auth_profile="DEFAULT",
)
def create_knowledge_graph(chunks):
cursor = oracle_conn.cursor()
@@ -218,19 +219,19 @@ def create_knowledge_graph(chunks):
prompt = f"""
You are extracting structured RFP evidence from technical documentation.
Given the text below, identify ONLY explicit, verifiable facts.
Text:
{text}
Extract triples in ONE of the following formats ONLY:
1. REQUIREMENT -[HAS_SUBJECT]-> <subject>
2. REQUIREMENT -[HAS_METRIC]-> <metric name>
3. REQUIREMENT -[HAS_VALUE]-> <exact value or limit>
4. REQUIREMENT -[SUPPORTED_BY]-> <document section or sentence>
Rules:
- Use REQUIREMENT as the source entity
- Use UPPERCASE relation names
@@ -536,6 +537,8 @@ def save_indexed_docs(docs):
# Main Function
# =========================
def chat():
pdf_paths = ['RFP - Financial v2.pdf']
already_indexed_docs = load_previously_indexed_docs()
updated_docs = set()
@@ -604,7 +607,7 @@ def chat():
retriever = vectorstore.as_retriever(search_type="similarity", search_kwargs={"k": 50, "fetch_k": 100})
RFP_DECISION_TEMPLATE = """
You are answering an RFP.
You are answering an RFP requirement with risk awareness.
Requirement:
Type: {requirement_type}
@@ -623,6 +626,17 @@ def chat():
- If value differs, answer PARTIAL
- If not found, answer NO
Confidence rules:
- HIGH: Explicit evidence directly answers the requirement
- MEDIUM: Evidence partially matches or requires light interpretation
- LOW: Requirement is ambiguous OR evidence is indirect OR missing
Ambiguity rules:
- ambiguity_detected = true if:
- The requirement can be interpreted in more than one way
- Keywords are vague (e.g. "support", "integration", "capability")
- Evidence does not clearly bind to subject + expected value
OUTPUT CONSTRAINTS (MANDATORY):
- Return ONLY a valid JSON object
- Do NOT include explanations, comments, markdown, lists, or code fences
@@ -632,6 +646,9 @@ def chat():
JSON schema (return exactly this structure):
{{
"answer": "YES | NO | PARTIAL",
"confidence": "HIGH | MEDIUM | LOW",
"ambiguity_detected": true,
"confidence_reason": "<short reason>",
"justification": "<short factual explanation>",
"evidence": [
{{
@@ -756,7 +773,7 @@ except:
print("No Faiss")
RFP_DECISION_TEMPLATE = """
You are answering an RFP.
You are answering an RFP requirement with risk awareness.
Requirement:
Type: {requirement_type}
@@ -775,6 +792,17 @@ Decision rules:
- If value differs, answer PARTIAL
- If not found, answer NO
Confidence rules:
- HIGH: Explicit evidence directly answers the requirement
- MEDIUM: Evidence partially matches or requires light interpretation
- LOW: Requirement is ambiguous OR evidence is indirect OR missing
Ambiguity rules:
- ambiguity_detected = true if:
- The requirement can be interpreted in more than one way
- Keywords are vague (e.g. "support", "integration", "capability")
- Evidence does not clearly bind to subject + expected value
OUTPUT CONSTRAINTS (MANDATORY):
- Return ONLY a valid JSON object
- Do NOT include explanations, comments, markdown, lists, or code fences
@@ -784,6 +812,9 @@ OUTPUT CONSTRAINTS (MANDATORY):
JSON schema (return exactly this structure):
{{
"answer": "YES | NO | PARTIAL",
"confidence": "HIGH | MEDIUM | LOW",
"ambiguity_detected": true,
"confidence_reason": "<short reason>",
"justification": "<short factual explanation>",
"evidence": [
{{