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About
ChunkOps.ai is a platform designed to optimize the integrity and accuracy of Retrieval-Augmented Generation (RAG) systems by preventing erroneous data from entering vector databases. The tool automates the processes of semantic conflict detection, deduplication, and policy versioning to maintain a reliable and up-to-date knowledge base, mitigating issues that lead to inaccurate AI outputs or "hallucinations". It serves organizations by preemptively resolving data inconsistencies such as policy contradictions and outdated documents. ChunkOps integrates seamlessly with popular data sources like Google Drive, Notion, and SharePoint, enabling automatic syncing and updating. Ideal for teams dealing with internal policies or production-level RAG applications, the platform ensures that data processed for AI systems is clean and semantically valid, minimizing legal risks and enhancing operational accuracy. The tool operates as a continuous integration/continuous deployment (CI/CD) system for context management, treating document management with the precision of software development practices.
Problem & solution
Problem
RAG apps fail from conflicting or duplicate docs ingested into vector databases.
Solution
Scans docs to detect conflicts, dedupe, and version policies before vector DB ingestion.
Who it's for
Teams building or maintaining enterprise RAG knowledge bases.
Main features
- Semantic conflict detection
- Semantic deduplication
- Policy versioning
- Golden Q&A generation
- Data source connectors
Use cases
- Detect policy contradictions
- Dedupe repeated document versions
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