finally published our latest research on text embeddings!
TLDR: Vector databases are NOT safe. š³ Text embeddings can be inverted. We can do this exactly for sentence-length inputs and get very close with paragraphs...
finally published our latest research on text embeddings! TLDR: Vector databases are NOT safe. š³ Text embeddings can be inverted. We can do this exactly for sentence-length inputs and get very close with paragraphs...
There are numerous integrations for vector storage. These include Alibaba Cloud OpenSearch, AnalyticDB for PostgreSQL, Meta AIās Annoy library for Approximate Nearest Neighbor (ANN) search, Cassandra, Chroma, Elasticsearch, Facebook AI Similarity Search (Faiss), MongoDB Atlas Vector Search, PGVector as a vector similarity search for Postgres, Pinec
... See moreBen Auffarth ā¢ Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Zep, being one such example, provides a persistent backend to store, summarize, and search chat histories using vector embeddings and auto-token counting.
Ben Auffarth ā¢ Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
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David A. Harding ā¢ Mastering Bitcoin
ātreat othersā data as you would have others treat your own data.ā
DJ Patil ā¢ Ethics and Data Science
Sahar Mor on Substack
substack.com
A serverless vector database
built from first principles on object storage: 10-100x cheaper, usage-based pricing, massive scalability
built from first principles on object storage: 10-100x cheaper, usage-based pricing, massive scalability