Santosh Bhavani a082a8a737 feat(backend): implement LLM-enhanced query method ... - Add queryWithLLM method to BackendService - Retrieves top K triples from graph and uses LLM to generate answers - Supports configurable LLM model and provider selection - Uses research-backed prompt structure for KG-enhanced RAG - Includes fallback handling for LLM errors		2025-10-19 19:57:12 -07:00
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arangodb-loader.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
arangodb.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
backend-service.ts	feat(backend): implement LLM-enhanced query method	2025-10-19 19:57:12 -07:00
client-init.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
embeddings.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
graph-db-service.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
graph-db-util.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
langchain-service.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
llm-service.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
neo4j.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
pinecone.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
query-logger.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
rag.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
remote-backend.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
text-processor.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00
utils.ts	chore: Regenerate all playbooks	2025-10-06 17:05:41 +00:00