gerev
pgvector
gerev | pgvector | |
---|---|---|
28 | 78 | |
2,610 | 9,349 | |
0.3% | 7.0% | |
8.5 | 9.9 | |
4 months ago | 3 days ago | |
Python | C | |
MIT License | GNU General Public License v3.0 or later |
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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.
gerev
- A FOSS chat bot trained on docs/ansible?
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Show HN: GPT-4-powered web searches for developers on Phind.com
https://github.com/gerevai/gerev to see for yourself.
Or you could try our sweet little demo: https://demo.gerev.ai
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Show HN: I “leaked” W23 YC internal pages and made them searchable
Some legit funny stuff is hiding here.
You can use gerev to host your own workplace search engine: <https://github.com/gerevai/gerev>
Disclaimer: no I didn't leak YC's internal intranet! all output by partners was generated by ChatGPT. don't sue me!
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What do you self host that has replaced paid services?
gerev - self hosted search engine
- FLaNK Stack Weekly 27 March 2023
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Show HN: Google-like search for workplace knowledge
Or easily bring up important docs in real-time during meetings.
I believe private data should remain private. All too often, AI products send private data to cloud-based LLMs. I believe that AI should assist users without breaching their privacy.
Feel free to check it out <https://github.com/gerevai/gerev>
- ChatGPT-like workplace search engine
- Show HN: Google-Like Search for Workplaces
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A new tool - webdev workplace search engine
https://github.com/gerevai/gerev - growing super fast.
pgvector
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Integrate txtai with Postgres
# Install Postgres and pgvector !apt-get update && apt install postgresql postgresql-server-dev-14 !git clone --branch v0.6.2 https://github.com/pgvector/pgvector.git !cd pgvector && make && make install # Start database !service postgresql start !sudo -u postgres psql -U postgres -c "ALTER USER postgres PASSWORD 'pass';"
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Vector Database solutions on AWS
When talking about Vector Databases, in the market we can find the specialized ones and multi-model, most of the major database providers like Oracle, PostgreSQL or MongoDB, for mention some of them, have integrated a specific solution to retrieve vector data.
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Using pgvector To Locate Similarities In Enterprise Data
For this example, I wanted to focus on how pgvector – an open-source vector similarity search for Postgres – can be used to identify data similarities that exist in enterprise data.
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pgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQL
pgvector supports dense vector search well, but it does not have plan to support sparse vector.
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Pg_vectorize: The simplest way to do vector search and RAG on Postgres
There's an issue in the pgvector repo about someone having several ~10-20million row tables and getting acceptable performance with the right hardware and some performance tuning: https://github.com/pgvector/pgvector/issues/455
I'm in the early stages of evaluating pgvector myself. but having used pinecone I currently am liking pgvector better because of it being open source. The indexing algorithm is clear, one can understand and modify the parameters. Furthermore the database is postgresql, not a proprietary document store. When the other data in the problem is stored relationally, it is very convenient to have the vectors stored like this as well. And postgresql has good observability and metrics. I think when it comes to flexibility for specialized applications, pgvector seems like the clear winner. But I can definitely see pinecone's appeal if vector search is not a core component of the problem/business, as it is very easy to use and scales very easily
- FLaNK 04 March 2024
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Vector Database and Spring IA
The Spring AI project aims to streamline the development of applications that incorporate artificial intelligence functionality without unnecessary complexity. On this example we use features like: Embedding, Prompts, ETL and save all embedding on PGvector(Postgres Vector database)
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Use pgvector for searching images on Azure Cosmos DB for PostgreSQL
Official GitHub repository of the pgvector extension
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pgvector 0.6.0: 30x faster with parallel index builds
pgvector 0.6.0 was just released and will be available on Supabase projects soon. Again, a special shout out to Andrew Kane and everyone else who worked on parallel index builds.
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Store embeddings in Azure Cosmos DB for PostgreSQL with pgvector
The pgvector extension adds vector similarity search capabilities to your PostgreSQL database. To use the extension, you have to first create it in your database. You can install the extension, by connecting to your database and running the CREATE EXTENSION command from the psql command prompt:
What are some alternatives?
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Milvus - A cloud-native vector database, storage for next generation AI applications
gerevai
faiss - A library for efficient similarity search and clustering of dense vectors.
spring-boot-startup-report - Spring Boot Startup Report library generates an interactive Spring Boot application startup report that lets you understand what contributes to the application startup time and perhaps helps to optimize it.
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.
dotfiles - The best and strongest dotfiles. Editor: Neovim; Shell: zsh(zinit, powerlevel10k); Terminal: wezterm; Desktop: hyprland/sway, ulauncher, dunst; OS: ArchLinux (Ubuntu/Fedora/CentOS)
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
specification - Serverless Workflow Specification
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python