hnsqlite
Elasticsearch
| hnsqlite | Elasticsearch | |
|---|---|---|
| 6 | 91 | |
| 143 | 67,632 | |
| 1.4% | 0.6% | |
| 5.5 | 10.0 | |
| 10 months ago | 6 days ago | |
| Python | Java | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hnsqlite
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LangChain: The Missing Manual
For anyone thinking about applications of langchain and pinecone but who are looking for something more turn-key check out https://jiggy.ai
The core is actually open source as well, allowing you to take your data back out via sqlite and hnswlib (https://github.com/jiggy-ai/hnsqlite)
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I built an open source website that lets you upload large files, such as in-depth novels or academic papers, and ask ChatGPT questions based on your specific knowledge base. So far, I've tested it with long books like the Odyssey and random research papers that I like, and it works shockingly well.
We are built on open core https://github.com/jiggy-ai. Our open source hnsqlite is light weight, easy to use. And best of all, we make it easy for you to get your data out of JiggyBase. You can download a sqlite file that contains your document text data, metadata, embedding vectors, and embedding index. This can be used directly in the open source hnsqlite package.
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What Is a Vector Database
After working through several projects that utilized local hnswlib and different databases for text and vector persistence, I integrated open source hnswlib with sqlite to create an embedded vector search engine that can easily scale up to millions of embeddings. For self-hosted situations of under 10M embeddings and less than insane throughput I think this combo is hard to beat.
https://github.com/jiggy-ai/hnsqlite
- Show HN: Hnsqlite: hnswlib and SQLite integrated for text embedding search
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Faiss: A library for efficient similarity search
Thanks Leobg!
For anyone else: you pass it directly in metadata see https://github.com/jiggy-ai/hnsqlite/blob/main/test/test_col...
Elasticsearch
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Elasticsearch Version 9
You could check out their GitHub and see what is going on https://github.com/elastic/elasticsearch/issues
- One .gitignore to rule them all
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Who's hiring developer advocates? (October 2023)
Link to GitHub -->
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Do we think about vector dbs wrong?
I believe the 1024 limit has been upped in recent versions of Elasticsearch
https://github.com/elastic/elasticsearch/issues/92458
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Elasticsearch VS openobserve - a user suggested alternative
2 projects | 30 Aug 2023
- A dedicated Elasticsearch query language (ES|QL)
- Fleet datastreams: custom index templates
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Integrating Elasticsearch with Node.js Applications
Elasticsearch is written in Java and its source code is available on Github.
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Murmur3 hash plugin for nested objects?
I don't think the murmur3 hash implementation has changed since it was added as the default in version 2.0 (see the [changes](https://github.com/elastic/elasticsearch/commits/main/server/src/main/java/org/elasticsearch/cluster/routing/Murmur3HashFunction.java)). The plugin itself has seen [more changes](https://github.com/elastic/elasticsearch/commits/main/plugins/mapper-murmur3) but that's IMO because of internals and not visible changes in the calculations.
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Mongo or Mysql for 10tb of JSON documents, I'm questioning my previous choice.
Mysql is not as open source as postgres (long story). And you can see how open elasticsearch is by just having access to the bugs database https://github.com/elastic/elasticsearch/issue
What are some alternatives?
langchainrb - Build LLM-powered applications in Ruby
OpenSearch - 🔎 Open source distributed and RESTful search engine.
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
bleve - A modern text/numeric/geo-spatial/vector indexing library for go
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
pgvector - Open-source vector similarity search for Postgres
GPT4Memory
Whoosh
raft - RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow