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 1 | # Contextual search with vector search: exploring your options with open source tools
 2 | - [Ollama and LangChain.js for RA](https://www.youtube.com/watch?v=3bz0nzs1tRA)
 3 | - [Real-time data processing with Apache Flink and RAG](https://www.youtube.com/watch?v=ity8bY3_uA4)
 4 | - [LangChain tutorial: connecting Amazon Bedrock LLM with OpenSearch](https://www.youtube.com/watch?v=u5EXpiwoHeo)
 5 | - [Integrating Amazon Bedrock with pub/sub for AI agent communication](https://www.youtube.com/watch?v=Pf3OlrH3NLU)
 6 | 
 7 | ## Demos
 8 | 
 9 | Building a knowledge chatbot powered by OpenSearch and AWS Bedrock
10 | - [GitHub repo](https://github.com/Aiven-Labs/chatbot-opensearch-aws-knowledge-base)
11 | 
12 | Building a movie recommendation system with Tensorflow and PGVector
13 | - [GitHub repo](https://github.com/Aiven-Labs/pgvector-tensorflow-movie-recommendations-workshop)
14 | - [Youtube series step by step](https://www.youtube.com/playlist?list=PLo6PI-0mPVLt2nQGH10XA3wdWFZ7r8jOK)
15 | 
16 | When text meets image: a guide to OpenSearch for multimodal search
17 | - [Github repo](https://github.com/Aiven-Labs/CLIP-opensearch)
18 | - [Article](https://aiven.io/developer/opensearch-multimodal-search)
19 | 
20 | Find your perfect movie with ClickHouse®, vector search, Hugging Face API, and Next.js
21 | - [Github repo](https://github.com/Aiven-Labs/find-your-movie-clickhouse-vectorsearch)
22 | - [Article](https://aiven.io/developer/movie-recommender-clickhouse-huggingface-nextjs)
23 | 
24 | ## OpenSearch
25 | - [k-NN search](https://opensearch.org/docs/latest/search-plugins/knn/index/)
26 | - [Approximate k-NN search](https://opensearch.org/docs/latest/search-plugins/knn/approximate-knn/)
27 | - [k-NN search with filters](https://opensearch.org/docs/latest/search-plugins/knn/filter-search-knn)
28 | - [Efficient filtering in OpenSearch vector engine](https://opensearch.org/blog/efficient-filters-in-knn/)
29 | - [langchain docs for OpenSearch](https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.opensearch_vector_search.OpenSearchVectorSearch.html)
30 | 
31 | ## PGVector
32 | - [pgvector](https://github.com/pgvector/pgvector)
33 | 
34 | ## Distance functions
35 | - [On the Surprising Behavior of Distance Metric in High-Dimensional Space](https://www.researchgate.net/publication/30013021_On_the_Surprising_Behavior_of_Distance_Metric_in_High-Dimensional_Space)
36 | - [Dot Product is a Bad Distance Function](https://medium.josuakrause.com/dot-product-is-a-bad-distance-function-aff7667da6cc)
37 | 
38 | ## Indexes
39 | - [Paper Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs](https://arxiv.org/abs/1603.09320)
40 | - [Understand Indexes in pgvector](https://stormatics.tech/blogs/understanding-indexes-in-pgvector)
41 | - [How to Combine PCA and K-means Clustering in Python?](https://365datascience.com/tutorials/python-tutorials/pca-k-means/)
42 | 
43 | ## RAG
44 | - [Developing memory-rich AI systems with Valkey™, OpenSearch® and RAG](https://aiven.io/developer/developing-memory-rich-ai-systems-with-valkey-opensearch-and-rag)
45 | 
46 | ## Videos with code samples
47 | 
48 | - [LangChain tutorial: connecting Amazon Bedrock LLM with OpenSearch](https://www.youtube.com/watch?v=u5EXpiwoHeo)
49 | - [Integrating Amazon Bedrock with pub/sub for AI agent communication](https://www.youtube.com/watch?v=Pf3OlrH3NLU)
50 | - [Real-time data processing with Apache Flink and RAG](https://www.youtube.com/watch?v=ity8bY3_uA4)
51 | - [Ollama and LangChain.js for RAG](https://www.youtube.com/watch?v=3bz0nzs1tRA)
52 | - [Integrating Amazon Bedrock with pub/sub for AI agent communication](https://www.youtube.com/watch?v=Pf3OlrH3NLU)
53 | 
54 | ### Aiven for Apache Kafka
55 | **Register your Aiven for Apache Kafka service with extra credits at [Aiven](https://go.aiven.io/devnexus-2024).**
56 | 
57 | ### Follow more updates and articles from me
58 | 
59 | LinkedIn: 
60 | - [https://www.linkedin.com/in/olenakutsenko/](https://www.linkedin.com/in/olenakutsenko/)
61 | 
62 | Twitter:
63 | - [https://twitter.com/OlenaKutsenko](https://twitter.com/OlenaKutsenko)
64 | 
65 | 
66 | 


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