Open Issues Need Help
View All on GitHubAI Summary: This issue proposes adding a new test to verify the correctness of audit logs. The test will run a mini pipeline using a `DummyRetriever` with mixed document types and then assert that the generated JSONL audit log contains expected events like deny, allow, and rerank, effectively acting as a golden snapshot test to prevent regressions.
Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.
AI Summary: This issue requests the addition of a new runnable example demonstrating the integration of the Chroma vector store with a LangChain retriever. The goal is to provide a practical RAG application example to aid user adoption, with acceptance criteria including a new Python file and a README update.
Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.
AI Summary: This issue proposes adding a new `SQLInjectionScanner` to a RAG firewall. The scanner will use regex patterns to detect common SQL injection attempts (e.g., "UNION SELECT", "DROP TABLE") in retrieved text, preventing malicious queries from exploiting surfaced database documentation. It requires a new scanner file, pattern matching, and unit tests.
Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.