Product Launchllmrepo retrievalcontextpacker
ContextPacker Delivers Embedding-Quality Retrieval Without Vectors
8.0
ContextPacker offers an API that delivers embedding-quality retrieval from code repositories without pre-indexing or a vector database, selecting relevant files on first call and supporting private repos via short-lived read-only PATs. In benchmarks across 14 real repos (177 questions) it reports 98% Hit@10, 0.92 NDCG and 8.5 answer quality; pricing begins with 100 free credits and $9 per 1,000 credits.
Key Points
- 1Selects relevant files using an LLM to deliver embedding-quality retrieval without a vector DB.
- 2Avoids pre-indexing and infrastructure, offering immediate first-call results and cached subsequent responses.
- 3Enables engineers to query private repos with short-lived PATs, reducing setup and maintenance overhead.
Scoring Rationale
Official LLM-powered API offers immediate, zero-infrastructure repo retrieval; scoring credible but relies on vendor-supplied benchmarks and claims.
Sources
Public references used for this report.
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