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update references to end to end examples, use s3 for langchain exampl… (#133)
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@@ -14,7 +14,7 @@ The key features of LanceDB include:
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* Ecosystem integrations with [LangChain 🦜️🔗](https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lanecdb.html), [LlamaIndex 🦙](https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/LanceDBIndexDemo.html), Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
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LanceDB's core is written in Rust 🦀 and is built using <a href="https://github.com/eto-ai/lance">Lance</a>, an open-source columnar format designed for performant ML workloads.
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LanceDB's core is written in Rust 🦀 and is built using <a href="https://github.com/lancedb/lance">Lance</a>, an open-source columnar format designed for performant ML workloads.
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## Quick Start
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@@ -50,11 +50,12 @@ LanceDB's core is written in Rust 🦀 and is built using <a href="https://githu
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const results = await table.search([100, 100]).limit(2).execute();
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```
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## Complete Demos
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## Complete Demos (Python)
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We will be adding completed demo apps built using LanceDB.
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- [YouTube Transcript Search](notebooks/youtube_transcript_search.ipynb)
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- [Documentation QA Bot using LangChain](notebooks/code_qa_bot.ipynb)
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- [Multimodal search using OpenAI and CLIP](notebooks/multimodal_search.ipynb)
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## Documentation Quick Links
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* [`Basic Operations`](basic.md) - basic functionality of LanceDB.
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