Enhancement: Smarter RAG Retrieval with Top-K and Code Filtering - #12
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feat : new test_generator using Pytest
…ricot into vector-store-phase2
Added Test generation to current release
deoxyforge
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pleasingsunlight
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haddybhaiya
March 28, 2026 16:14
pleasingsunlight
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seems good to me!
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Automated Code Review Comment: Bugs
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Suggested Testsimport pytest
from agent.indexing.vector_store import query_embeddings
def test_query_embeddings_empty():
assert query_embeddings("") == []
def test_query_embeddings_k_zero():
assert query_embeddings("test", k=0) == []
def test_query_embeddings_k_large():
assert len(query_embeddings("test", k=10)) <= 10
def test_query_embeddings_no_useful_code():
assert query_embeddings("test") == []
def test_query_embeddings_useful_code():
assert "def " in query_embeddings("def test")[0] or "class " in query_embeddings("class test")[0] |
haddybhaiya
approved these changes
Mar 28, 2026
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Congrats 👏 |
pleasingsunlight
approved these changes
Mar 28, 2026
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This update improves the retrieval mechanism in the vector store to provide more relevant and meaningful context to the LLM.
Key Improvements:
Result:
This builds on Phase 2 (ChromaDB integration) by improving retrieval quality.