postgresml/korvus

• highreadme#1

  Reposition the README's opening paragraph to emphasize RAG SDK identity

  原因：

  当前

  Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript and Rust, Korvus delivers high-performance, customizable search capabilities with minimal infrastructure concerns.

  复制粘贴的修复

  复制

  Korvus is the **unified RAG pipeline search SDK** that lets you build and deploy advanced Retrieval Augmented Generation (RAG) applications entirely within PostgreSQL, using a single database query. It provides high-performance, customizable search capabilities with bindings for Python, JavaScript, and Rust, eliminating the need for external vector databases or complex orchestration.

  待办完成忽略
• mediumtopics#2

  Add more specific topics to clarify RAG and in-database capabilities

  原因：

  当前

  ai, embeddings, javascript, llm, ml, python, rag, search, sql

  复制粘贴的修复

  复制

  ai, embeddings, javascript, llm, ml, python, rag, search, sql, vector-search, in-database-rag

  待办完成忽略
• lowreadme#3

  Enhance the 'Why Korvus?' section to highlight its unique differentiator

  原因：

  复制粘贴的修复

  复制

  In the '🏆 Why Korvus?' section, add a sentence like: 'Unlike solutions requiring separate vector databases or complex orchestration layers, Korvus unifies the entire RAG pipeline—from embedding generation to retrieval and re-ranking—directly within your Postgres database, accessible via a single SQL query.'

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to unify an entire RAG pipeline within a single Postgres database query?

  你：未被推荐
  AI 推荐顺序：

  1. pg_embedding
  2. OpenAI
  3. Hugging Face
  4. pgvector
  5. PostgreSQL's Built-in Full-Text Search
  6. PL/pgSQL
  7. PL/Python
  8. TimescaleDB
  9. Supabase
  10. Cohere

  AI 推荐了 10 个替代方案，却始终没点名 postgresml/korvus。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Looking for a high-performance RAG search SDK with Python and JavaScript bindings.

  你：未被推荐
  AI 推荐顺序：

  1. Weaviate (weaviate/weaviate)
  2. Pinecone
  3. Qdrant (qdrant/qdrant)
  4. Milvus (milvus-io/milvus)
  5. Zilliz
  6. Elasticsearch (elastic/elasticsearch)
  7. Faiss (facebookresearch/faiss)
  8. Chroma (chroma-core/chroma)

  AI 推荐了 8 个替代方案，却始终没点名 postgresml/korvus。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of postgresml/korvus?

  pass
  ✓AI 明确点名了 postgresml/korvus

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts postgresml/korvus in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 postgresml/korvus

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo postgresml/korvus solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 postgresml/korvus

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？