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Top 6 embedding-vector Open-Source Projects
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towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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client-vector-search
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
Project mention: More Agents Is All You Need: LLMs performance scales with the number of agents | news.ycombinator.com | 2024-04-06I couldn't agree more. You should check out LLMWare's SLIM agents (https://github.com/llmware-ai/llmware/tree/main/examples/SLI...). It's focusing on pretty much exactly this and chaining multiple local LLMs together.
A really good topic that ties in with this is the need for deterministic sampling (I may have the terminology a bit incorrect) depending on what the model is indended for. The LLMWare team did a good 2 part video on this here as well (https://www.youtube.com/watch?v=7oMTGhSKuNY)
I think dedicated miniture LLMs are the way forward.
Disclaimer - Not affiliated with them in any way, just think it's a really cool project.
What is your novelty? I just see HNSW.
What is the relationship between awa and vearch? You both have a 'gamma' index with identical copy:
https://github.com/awa-ai/awadb/tree/main/awadb/db_engine/in...
Project mention: Client Vector Search: Embed, store, search, and cache vectors on the Browser | news.ycombinator.com | 2023-10-15
- Server on Hetzner
Badger wouldn't have made sense to use instead of Postgres. I'm thinking of using Badger for other purposes. I do use ristretto and roaring bitmaps a lot internally.
Struct has a very nice integration with Slack. So, you can actually use Struct as a Slack interface. Essentially, your peers can be using Slack, while you could responding to them via Struct - think Superhuman for Gmail.
We have a good integration with Discord too. Both are being used by OSS companies to generate public knowledge bases from their Slack/Discord conversations.
[1]: https://github.com/struct-chat/embedding
embedding-vectors related posts
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More Agents Is All You Need: LLMs performance scales with the number of agents
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Show HN: Struct – A Feed-Centric Chat Platform
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Show HN: LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG
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Show HN: LLMWare – Integrated Solution for RAG in Finance and Legal
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Llmware.ai – AI Tools for Financial, Legal and Compliance
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Client Vector Search: Embed, store, search, and cache vectors on the Browser
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Welcome to generate your embeddings with Towhee
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A note from our sponsor - SaaSHub
www.saashub.com | 6 May 2024
Index
What are some of the best open-source embedding-vector projects? This list will help you:
Project | Stars | |
---|---|---|
1 | llmware | 3,173 |
2 | towhee | 3,001 |
3 | awadb | 158 |
4 | client-vector-search | 122 |
5 | vectory | 64 |
6 | embedding | 19 |
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