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Merge pull request #7 from Rishav-hub/patch-1

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Updated the hyperlink for "Retrieval with FastEmbed"
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Nirant
2023-09-07 15:14:01 +05:30
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parent 728ac49a91 bcf3cee8b8
commit 9cd13a890e
1 changed files with 2 additions and 2 deletions
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@@ -4,7 +4,7 @@ FastEmbed is an easy to use -- lightweight, fast, Python library built for retri
The default embedding supports "query" and "passage" prefixes for the input text. The default model is [Flag Embedding](https://github.com/FlagOpen/FlagEmbedding), which is top of the [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard.
Advanced user? Skip ahead to [Retrieval with FastEmbed](https://qdrant.github.io/fastembed/examples/Retrieval%20with%20FastEmbed/)
Advanced user? Skip ahead to [Retrieval with FastEmbed](https://qdrant.github.io/fastembed/examples/Retrieval_with_FastEmbed/)
To install the FastEmbed library, pip works:
@@ -42,4 +42,4 @@ It's important we justify the "fast" in FastEmbed. FastEmbed is fast because:
### Why accurate?
1. Better than OpenAI Ada-002
2. Top of the Embedding leaderboards e.g. [MTEB](https://huggingface.co/spaces/mteb/leaderboard)
2. Top of the Embedding leaderboards e.g. [MTEB](https://huggingface.co/spaces/mteb/leaderboard)