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Lance Alternatives
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qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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FLiPStackWeekly
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fluvio
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
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SaaSHub
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deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
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lancedb
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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Lixur
Discontinued Lixur is an open-sourced project that seeks to build a scalable, feeless, decentralized, quantum-secure, and easy-to-use blockchain with smart, and intelligent (A.I.) contract functionality.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
lance discussion
lance reviews and mentions
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⚡🦀 Deploy a blazing-fast & Lightweight LLM app with Rust-Rig-LanceDB
Lance is an open-source columnar data format designed for performant ML workloads.
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DBT for Unstructured Data – DataChain
How does this relate to https://github.com/lancedb/lance
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Show HN: Vortex – a high-performance columnar file format in Rust
Not an expert in the space at all and it does seem like people are exploring new file and table formats so that is really cool!
How does this compare to Lance (https://lancedb.github.io/lance/)?
What do you think the key applied use case for Vortex is?
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Txtai – A Strong Alternative to ChromaDB and LangChain for Vector Search and RAG
https://news.ycombinator.com/item?id=40115099 :
> lancedb/lance is faster than pandas with dtype_backend="arrow" and has a vector index
From https://github.com/lancedb/lance :
> Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow,
> [...] Vector Search
> comparison of different data formats in each stage of ML development cycle: Lance, Parquet & ORC, JSON & XML, TFRecord, Database, Warehouse
What can ChromaDB do that lancedb can't, and will either work in WASM?
From https://github.com/chroma-core/chroma :
> By default, Chroma uses Sentence Transformers to embed for you but you can also use OpenAI embeddings, Cohere (multilingual) embeddings, or your own.
- The Nimble File Format by Meta
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Supabase Storage: now supports the S3 protocol
you should look at lance(https://lancedb.github.io/lance/)
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Understanding Parquet, Iceberg and Data Lakehouses
Parquet has been the lakehouse file format of choice for nearly half a decade. But we are starting to see other contenders that are optimized more for lower latency like lance https://github.com/lancedb/lance
- FLaNK Stack Weekly for 12 June 2023
- FLaNK Stack 5-June-2023
- [Show HN] Lance is a Rust-based alternative to Parquet for ML data
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A note from our sponsor - CodeRabbit
coderabbit.ai | 9 Dec 2024
Stats
lancedb/lance is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of lance is Rust.