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langchain-ai21==0.1.4
langchain-ai21==0.1.5
langchain-ai21==0.1.6
langchain-ai21==0.1.7
langchain-airbyte==0.1.1
langchain-anthropic==0.1.12
langchain-anthropic==0.1.13
langchain-anthropic==0.1.14rc1
langchain-anthropic==0.1.14rc2
langchain-anthropic==0.1.15
langchain-anthropic==0.1.16
langchain-anthropic==0.1.17
langchain-anthropic==0.1.18
langchain-anthropic==0.1.19
langchain-azure-dynamic-sessions==0.1.0
langchain-azure-dynamic-sessions==0.1.0rc0
langchain-chroma==0.1.1
langchain-chroma==0.1.2
langchain-cli==0.0.22
langchain-cli==0.0.23
langchain-cli==0.0.24
langchain-cli==0.0.25
langchain-community==0.0.35
langchain-community==0.0.36
langchain-community==0.0.37
langchain-community==0.0.38
langchain-community==0.2.0
langchain-community==0.2.0rc1
langchain-community==0.2.1
langchain-community==0.2.2
langchain-community==0.2.3
langchain-community==0.2.4
langchain-community==0.2.5
langchain-community==0.2.6
langchain-core==0.1.47
langchain-core==0.1.48
langchain-core==0.1.50
langchain-core==0.1.51
langchain-core==0.1.52
langchain-core==0.2.0
langchain-core==0.2.0rc1
langchain-core==0.2.1
langchain-core==0.2.10
langchain-core==0.2.11
langchain-core==0.2.2
langchain-core==0.2.2rc1
langchain-core==0.2.3
langchain-core==0.2.4
langchain-core==0.2.5
langchain-core==0.2.6
langchain-core==0.2.7
langchain-core==0.2.8
langchain-core==0.2.9
langchain-couchbase==0.0.1
langchain-exa==0.1.0
langchain-experimental==0.0.58
langchain-experimental==0.0.59
langchain-experimental==0.0.60
langchain-experimental==0.0.61
langchain-experimental==0.0.62
langchain-fireworks==0.1.3
langchain-fireworks==0.1.4
langchain-groq==0.1.4
langchain-groq==0.1.5
langchain-groq==0.1.6
langchain-huggingface==0.0.1
langchain-huggingface==0.0.2
langchain-huggingface==0.0.3
langchain-ibm==0.1.5
langchain-ibm==0.1.6
langchain-ibm==0.1.7
langchain-ibm==0.1.8
langchain-milvus==0.1.0
langchain-milvus==0.1.1
langchain-mistralai==0.1.6
langchain-mistralai==0.1.7
langchain-mistralai==0.1.8
langchain-mistralai==0.1.9
langchain-mongodb==0.1.4
langchain-mongodb==0.1.5
langchain-mongodb==0.1.6
langchain-nomic==0.1.0
langchain-nomic==0.1.1
langchain-nomic==0.1.2
langchain-openai==0.1.10
langchain-openai==0.1.11
langchain-openai==0.1.12
langchain-openai==0.1.13
langchain-openai==0.1.14
langchain-openai==0.1.5
langchain-openai==0.1.6
langchain-openai==0.1.7
langchain-openai==0.1.8
langchain-openai==0.1.8rc1
langchain-openai==0.1.9
langchain-pinecone==0.1.1
langchain-prompty==0.0.1
langchain-prompty==0.0.2
langchain-qdrant==0.0.1
langchain-qdrant==0.1.0
langchain-qdrant==0.1.1
langchain-robocorp==0.0.6
langchain-robocorp==0.0.7
langchain-robocorp==0.0.8
langchain-robocorp==0.0.9
langchain-robocorp==0.0.9.post1
langchain-text-splitters==0.0.2
langchain-text-splitters==0.2.0
langchain-text-splitters==0.2.1
langchain-text-splitters==0.2.2
langchain-together==0.1.1
langchain-together==0.1.2
langchain-together==0.1.3
langchain-upstage==0.1.4
langchain-upstage==0.1.5
langchain-voyageai==0.1.1
langchain==0.1.17
langchain==0.1.19
langchain==0.1.20
langchain==0.2.0
langchain==0.2.0rc1
langchain==0.2.0rc2
langchain==0.2.1
langchain==0.2.2
langchain==0.2.3
langchain==0.2.4
langchain==0.2.5
langchain==0.2.6
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${ noResults }
2 Commits (a4bcb45f659d29e4c4ce715f70813413db9bad03)
| Author | SHA1 | Message | Date |
|---|---|---|---|
Aayush Kataria
|
71811e0547
|
community[minor]: Adds a vector store for Azure Cosmos DB for NoSQL (#21676)
This PR add supports for Azure Cosmos DB for NoSQL vector store. Summary: Description: added vector store integration for Azure Cosmos DB for NoSQL Vector Store, Dependencies: azure-cosmos dependency, Tag maintainer: @hwchase17, @baskaryan @efriis @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> |
4 weeks ago |
East Agile
|
2a6f78a53f
|
community[minor]: Rememberizer retriever (#20052)
**Description:** This pull request introduces a new feature for LangChain: the integration with the Rememberizer API through a custom retriever. This enables LangChain applications to allow users to load and sync their data from Dropbox, Google Drive, Slack, their hard drive into a vector database that LangChain can query. Queries involve sending text chunks generated within LangChain and retrieving a collection of semantically relevant user data for inclusion in LLM prompts. User knowledge dramatically improved AI applications. The Rememberizer integration will also allow users to access general purpose vectorized data such as Reddit channel discussions and US patents. **Issue:** N/A **Dependencies:** N/A **Twitter handle:** https://twitter.com/Rememberizer |
2 months ago |